{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU","widgets":{"application/vnd.jupyter.widget-state+json":{"3fb4d9f9d4eb45c692e7c1e3130297a5":{"model_module":"@jupyter-widgets/controls","model_name":"TextModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"TextModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"TextView","continuous_update":true,"description":"Patient ID:","description_tooltip":null,"disabled":false,"layout":"IPY_MODEL_5af31d7cc5264f228055b12f63ba13a8","placeholder":"Entrez un ID de patient (ex: 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signal","disabled":false,"icon":"","layout":"IPY_MODEL_bd542e5fc2e24f77a42f2667d73062bd","style":"IPY_MODEL_c6f0501dd670493b8b9fccd3c58bb4ab","tooltip":""}},"bd542e5fc2e24f77a42f2667d73062bd":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c6f0501dd670493b8b9fccd3c58bb4ab":{"model_module":"@jupyter-widgets/controls","model_name":"ButtonStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ButtonStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","button_color":null,"font_weight":""}}}}},"cells":[{"cell_type":"code","source":["!pip install wfdb"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"52FOJ_17oDVC","executionInfo":{"status":"ok","timestamp":1740969394018,"user_tz":300,"elapsed":10168,"user":{"displayName":"Hamod","userId":"01942683667417396089"}},"outputId":"985f9c30-2965-4f83-d2a0-43a4b342d812"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting wfdb\n","  Downloading wfdb-4.2.0-py3-none-any.whl.metadata (3.7 kB)\n","Requirement already satisfied: matplotlib>=3.2.2 in /usr/local/lib/python3.11/dist-packages (from wfdb) (3.10.0)\n","Requirement already satisfied: numpy>=1.26.4 in /usr/local/lib/python3.11/dist-packages (from wfdb) (1.26.4)\n","Collecting pandas>=2.2.3 (from wfdb)\n","  Downloading pandas-2.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (89 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m89.9/89.9 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta 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/usr/local/lib/python3.11/dist-packages (from matplotlib>=3.2.2->wfdb) (24.2)\n","Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.11/dist-packages (from matplotlib>=3.2.2->wfdb) (11.1.0)\n","Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib>=3.2.2->wfdb) (3.2.1)\n","Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.11/dist-packages (from matplotlib>=3.2.2->wfdb) (2.8.2)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas>=2.2.3->wfdb) (2025.1)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas>=2.2.3->wfdb) (2025.1)\n","Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests>=2.8.1->wfdb) (3.4.1)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests>=2.8.1->wfdb) (3.10)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests>=2.8.1->wfdb) (2.3.0)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests>=2.8.1->wfdb) (2025.1.31)\n","Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.11/dist-packages (from soundfile>=0.10.0->wfdb) (1.17.1)\n","Requirement already satisfied: pycparser in /usr/local/lib/python3.11/dist-packages (from cffi>=1.0->soundfile>=0.10.0->wfdb) (2.22)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.7->matplotlib>=3.2.2->wfdb) (1.17.0)\n","Downloading wfdb-4.2.0-py3-none-any.whl (162 kB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m162.3/162.3 kB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hDownloading pandas-2.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.1/13.1 MB\u001b[0m \u001b[31m106.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: pandas, wfdb\n","  Attempting uninstall: pandas\n","    Found existing installation: pandas 2.2.2\n","    Uninstalling pandas-2.2.2:\n","      Successfully uninstalled pandas-2.2.2\n","\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n","google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.2.3 which is incompatible.\u001b[0m\u001b[31m\n","\u001b[0mSuccessfully installed pandas-2.2.3 wfdb-4.2.0\n"]}]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-vCQrfwNjzod","executionInfo":{"status":"ok","timestamp":1740974085029,"user_tz":300,"elapsed":26503,"user":{"displayName":"Hamod","userId":"01942683667417396089"}},"outputId":"400d0549-5a75-43cc-8050-c1271170805e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["import wfdb\n","import numpy as np\n","import matplotlib.pyplot as plt\n","\n","# Fonction pour charger les données et les annotations\n","def load_patient_data(patient_id):\n","    # Charger le signal ECG\n","    record = wfdb.rdrecord(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', channels=[0])\n","    signal = record.p_signal.flatten()\n","\n","    # Charger les annotations\n","    annotation = wfdb.rdann(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', 'atr')\n","\n","    return signal, annotation.sample, annotation.symbol\n","\n","# Exemple : Charger les données du patient 101\n","signal, annotation_samples, annotation_symbols = load_patient_data('101')"],"metadata":{"id":"CZ4Sa3LU0elG"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def create_labeled_dataset(patient_ids, segment_length=1800):\n","    X, y = [], []\n","    for pid in patient_ids:\n","        signal, annotation_samples, annotation_symbols = load_patient_data(pid)\n","        num_segments = len(signal) // segment_length\n","        labels = np.zeros(num_segments)  # 0 = Normal, 1 = Anomalie\n","\n","        # Parcourir les annotations pour étiqueter les segments\n","        for sample, symbol in zip(annotation_samples, annotation_symbols):\n","            if symbol != 'N':  # 'N' = Normal, les autres symboles = Anomalies\n","                segment_idx = sample // segment_length\n","                if segment_idx < num_segments:\n","                    labels[segment_idx] = 1  # Marquer comme anormal\n","\n","        # Découper le signal en segments\n","        segments = [signal[i:i+segment_length] for i in range(0, len(signal), segment_length)[:num_segments]]\n","        X.extend(segments)\n","        y.extend(labels)\n","\n","    return np.array(X), np.array(y)\n","\n","# Liste de tous les patients disponibles dans MIT-BIH\n","patient_ids = [\n","    '100', '101', '102', '103', '104', '105', '106', '107', '108', '109',\n","    '111', '112', '113', '114', '115', '116', '117', '118', '119', '121',\n","    '122', '123', '124', '200', '201', '202', '203', '205', '207', '208',\n","    '209', '210', '212', '213', '214', '215', '217', '219', '220', '221',\n","    '222', '223', '228', '230', '231', '232', '233', '234'\n","]\n","\n","# Créer le dataset avec tous les patients\n","X, y = create_labeled_dataset(patient_ids)\n","\n","# Vérifier la répartition des classes\n","print(\"Répartition des classes :\", np.unique(y, return_counts=True))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"uQTaif6600sr","executionInfo":{"status":"ok","timestamp":1740958396296,"user_tz":0,"elapsed":52672,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"af623188-005b-458c-f6ff-a1ec8c40bdc6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Répartition des classes : (array([0., 1.]), array([8377, 8951]))\n"]}]},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n","\n","# Normalisation des données\n","X = (X - np.mean(X, axis=1, keepdims=True)) / np.std(X, axis=1, keepdims=True)\n","\n","# Séparer en train/test\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n","\n","# Redimensionner pour le modèle\n","X_train = X_train.reshape(-1, 1800, 1)\n","X_test = X_test.reshape(-1, 1800, 1)"],"metadata":{"id":"aQAEHY321Mjd"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Conv1D, MaxPooling1D, LSTM, Dense, Flatten, Dropout\n","\n","model = Sequential([\n","    # Couches CNN pour extraire les features locales\n","    Conv1D(64, kernel_size=3, activation='relu', input_shape=(1800, 1)),\n","    MaxPooling1D(2),\n","    Dropout(0.5),\n","    Conv1D(128, kernel_size=3, activation='relu'),\n","    MaxPooling1D(2),\n","    Dropout(0.5),\n","\n","    # Couche LSTM pour capturer les dépendances temporelles\n","    LSTM(64, return_sequences=False),\n","    Dropout(0.5),\n","\n","    # Couches fully connected\n","    Dense(64, activation='relu'),\n","    Dense(1, activation='sigmoid')  # Classification binaire\n","])\n","\n","model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2-ngSVXP10yl","executionInfo":{"status":"ok","timestamp":1740958402844,"user_tz":0,"elapsed":5516,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"6e5a5b7a-86cb-4b43-fed8-2535bea0a679"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.11/dist-packages/keras/src/layers/convolutional/base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n","  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"]},{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape               \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ conv1d (\u001b[38;5;33mConv1D\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1798\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │             \u001b[38;5;34m256\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d (\u001b[38;5;33mMaxPooling1D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m899\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m899\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv1d_1 (\u001b[38;5;33mConv1D\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m897\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m24,704\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d_1 (\u001b[38;5;33mMaxPooling1D\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m448\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m448\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ lstm (\u001b[38;5;33mLSTM\u001b[0m)                          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │          \u001b[38;5;34m49,408\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m)                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │           \u001b[38;5;34m4,160\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                   │              \u001b[38;5;34m65\u001b[0m │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                         </span>┃<span style=\"font-weight: bold\"> Output Shape                </span>┃<span style=\"font-weight: bold\">         Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ conv1d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv1D</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1798</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling1D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">899</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">899</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv1d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv1D</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">897</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">24,704</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling1D</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,160</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                   │              <span style=\"color: #00af00; text-decoration-color: #00af00\">65</span> │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m78,593\u001b[0m (307.00 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">78,593</span> (307.00 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m78,593\u001b[0m (307.00 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">78,593</span> (307.00 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n","</pre>\n"]},"metadata":{}}]},{"cell_type":"code","source":["# Calculer les poids des classes\n","from sklearn.utils.class_weight import compute_class_weight\n","\n","class_weights = compute_class_weight('balanced', classes=np.unique(y_train), y=y_train)\n","class_weights = {i: w for i, w in enumerate(class_weights)}\n","\n","# Entraîner le modèle\n","history = model.fit(\n","    X_train, y_train,\n","    epochs=20,\n","    batch_size=32,\n","    validation_data=(X_test, y_test),\n","    class_weight=class_weights\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5R69zWz016DE","executionInfo":{"status":"error","timestamp":1740958497852,"user_tz":0,"elapsed":94915,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"d3bb023b-0602-4b5f-b922-26a293ea7424"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/20\n","\u001b[1m434/434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 25ms/step - accuracy: 0.5153 - loss: 0.6936 - val_accuracy: 0.5811 - val_loss: 0.6755\n","Epoch 2/20\n","\u001b[1m434/434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 27ms/step - accuracy: 0.5254 - loss: 0.6926 - val_accuracy: 0.5814 - val_loss: 0.6696\n","Epoch 3/20\n","\u001b[1m434/434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 23ms/step - accuracy: 0.5989 - loss: 0.6603 - val_accuracy: 0.5115 - val_loss: 0.6923\n","Epoch 4/20\n","\u001b[1m434/434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 24ms/step - accuracy: 0.5067 - loss: 0.6947 - val_accuracy: 0.5043 - val_loss: 0.6896\n","Epoch 5/20\n","\u001b[1m434/434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 25ms/step - accuracy: 0.5190 - loss: 0.6926 - val_accuracy: 0.5395 - val_loss: 0.6897\n","Epoch 6/20\n"]},{"output_type":"error","ename":"KeyboardInterrupt","evalue":"","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-7-a368d74a870f>\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m# Entraîner le modèle\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m history = model.fit(\n\u001b[0m\u001b[1;32m      9\u001b[0m     \u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mepochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.11/dist-packages/keras/src/utils/traceback_utils.py\u001b[0m in \u001b[0;36merror_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    115\u001b[0m         \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    116\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 117\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    118\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    119\u001b[0m             \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_traceback_frames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.11/dist-packages/keras/src/backend/tensorflow/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq)\u001b[0m\n\u001b[1;32m    368\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mepoch_iterator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcatch_stop_iteration\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    369\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mstep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterator\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mepoch_iterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 370\u001b[0;31m                     \u001b[0mcallbacks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_train_batch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    371\u001b[0m                     \u001b[0mlogs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    372\u001b[0m                     \u001b[0mcallbacks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_train_batch_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlogs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.11/dist-packages/keras/src/callbacks/callback_list.py\u001b[0m in \u001b[0;36mon_train_batch_begin\u001b[0;34m(self, batch, logs)\u001b[0m\n\u001b[1;32m    145\u001b[0m             \u001b[0mcallback\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_epoch_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepoch\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "]}]},{"cell_type":"code","source":["from tensorflow.keras.models import load_model\n","\n","# Sauvegarder le modèle\n","model.save('model_ecg.h5')\n","\n","# Charger le modèle\n","model_ecg = load_model('model_ecg.h5')\n","model_ecg.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"g1IkLoykFgTv","executionInfo":{"status":"ok","timestamp":1740958514881,"user_tz":0,"elapsed":158,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"2588a65c-93c3-4002-c036-2dd4727c69d3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"]},{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape               \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ conv1d (\u001b[38;5;33mConv1D\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1798\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │             \u001b[38;5;34m256\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d (\u001b[38;5;33mMaxPooling1D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m899\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m899\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv1d_1 (\u001b[38;5;33mConv1D\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m897\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m24,704\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d_1 (\u001b[38;5;33mMaxPooling1D\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m448\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m448\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ lstm (\u001b[38;5;33mLSTM\u001b[0m)                          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │          \u001b[38;5;34m49,408\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m)                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │           \u001b[38;5;34m4,160\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                   │              \u001b[38;5;34m65\u001b[0m │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                         </span>┃<span style=\"font-weight: bold\"> Output Shape                </span>┃<span style=\"font-weight: bold\">         Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ conv1d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv1D</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1798</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling1D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">899</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">899</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv1d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv1D</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">897</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">24,704</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling1d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling1D</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,160</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                   │              <span style=\"color: #00af00; text-decoration-color: #00af00\">65</span> │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m78,595\u001b[0m (307.02 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">78,595</span> (307.02 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m78,593\u001b[0m (307.00 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">78,593</span> (307.00 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Optimizer params: \u001b[0m\u001b[38;5;34m2\u001b[0m (12.00 B)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Optimizer params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2</span> (12.00 B)\n","</pre>\n"]},"metadata":{}}]},{"cell_type":"code","source":["from sklearn.metrics import classification_report, confusion_matrix\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","\n","# Prédictions\n","y_pred = (model.predict(X_test) > 0.5).astype(int)\n","\n","# Rapport de classification\n","print(classification_report(y_test, y_pred))\n","\n","# Matrice de confusion\n","cm = confusion_matrix(y_test, y_pred)\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n","plt.xlabel('Prédit')\n","plt.ylabel('Réel')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"toDU9usM1_ys","executionInfo":{"status":"ok","timestamp":1740958554635,"user_tz":0,"elapsed":2357,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"bcd91545-9317-47ee-9efd-aa74b38075de"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step\n","              precision    recall  f1-score   support\n","\n","         0.0       0.52      0.65      0.58      1695\n","         1.0       0.56      0.44      0.49      1771\n","\n","    accuracy                           0.54      3466\n","   macro avg       0.54      0.54      0.54      3466\n","weighted avg       0.54      0.54      0.53      3466\n","\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["import wfdb\n","import matplotlib.pyplot as plt\n","\n","# Fonction pour charger et visualiser un ECG\n","def plot_ecg(patient_id, title):\n","    # Charger le signal ECG\n","    record = wfdb.rdrecord(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', channels=[0])\n","    signal = record.p_signal.flatten()\n","\n","    # Charger les annotations\n","    annotation = wfdb.rdann(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', 'atr')\n","\n","    # Visualiser le signal\n","    plt.figure(figsize=(12, 4))\n","    plt.plot(signal[:2000])  # Afficher les 2000 premiers échantillons (~5.5 secondes)\n","    plt.title(f\"ECG - {title} (Patient {patient_id})\")\n","    plt.xlabel(\"Échantillons\")\n","    plt.ylabel(\"Amplitude (mV)\")\n","    plt.grid()\n","    plt.show()\n","\n","# Visualiser un ECG normal (Patient 101)\n","plot_ecg('101', 'Rythme Sinusal Normal')\n","\n","# Visualiser un ECG anormal (Patient 106)\n","plot_ecg('106', 'Extrasystoles Ventriculaires (PVC)')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Qk1pZ8M0iR6B","executionInfo":{"status":"ok","timestamp":1740958557127,"user_tz":0,"elapsed":543,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"e15337f2-81f9-4e19-90c0-5245b24a32dd"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA/0AAAGJCAYAAADYE1OeAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA32FJREFUeJzs3XeYU1X6B/BvkukzTIHp9N6bIB3pbRDFjopYEF1/ouuyqyurgtiwIuqirAXRXRV7pyMDIlV673WGqUyvKff3R3Jvbm6SmSQzk+ROvp/n4YFkMuFk7pl773vOe96jEQRBABERERERERE1OlpfN4CIiIiIiIiIGgaDfiIiIiIiIqJGikE/ERERERERUSPFoJ+IiIiIiIiokWLQT0RERERERNRIMegnIiIiIiIiaqQY9BMRERERERE1Ugz6iYiIiIiIiBopBv1EREREREREjRSDfiIiCijp6enQaDT45ptvfN2UerN8+XJoNBqcO3fO101xWZs2bXDPPff4uhk+5e5x+7//+z+MGzeuYRvlwLlz56DRaLB8+XKv/9/+avXq1YiKikJubq6vm0JEVCsG/UREKiUGDM7+bN++3eb1lZWVePPNNzFw4EDExMQgLCwMnTp1wuzZs3HixAm79z9w4ADuvfdetG3bFmFhYYiKikKfPn3wxBNP4MyZM/X6WcRAXPyj0+mQmJiIm2++GUePHvXoPT///HMsXry4XtvpbdXV1XjrrbfQt29fREdHIzY2Ft27d8cDDzyAY8eO+bp5XiH2iTfeeMPua+LvwJ9//umDlnnX2bNn8eGHH+Jf//qX9JwYjMt/b1q1aoUbbrgB+/btc/v/8PXvzLvvvuvWwMKXX36J6dOno2PHjtBoNBg5cqTT11ZVVeGf//wnUlNTER4ejoEDB2LdunV2r1u7di1mzpyJHj16QKfToU2bNg7fb+LEiejQoQMWLlzocnuJiHwlyNcNICKiunnuuefQtm1bu+c7dOgg/TsvLw8TJ07E7t27ce211+KOO+5AVFQUjh8/jhUrVuD9999HdXW19PoPPvgADz30EOLj43HnnXeiS5cuMBgMOHToED799FMsXrwYFRUV0Ol09fpZHn30UVx99dXQ6/U4cOAAli5divT0dBw6dAjJycluvdfnn3+OQ4cO4bHHHqvXNnrTTTfdhFWrVuH222/HrFmzoNfrcezYMfzyyy8YMmQIunTpAgC46667MG3aNISGhvq4xQ3ntddew0MPPYSIiAhfN8Un3nrrLbRt2xajRo2y+9rtt9+OtLQ0GI1GHD16FO+99x5WrVqF7du3o0+fPi7/H85+Z1q3bo2KigoEBwfX8VPU7N1330V8fLzLGSDvvfcedu/ejauvvhr5+fk1vvaee+7BN998g8ceewwdO3bE8uXLkZaWho0bN2LYsGHS6z7//HN8+eWXuOqqq5Camlrjez744IP4xz/+gQULFqBJkyYutZmIyCcEIiJSpY8//lgAIOzatavW106ePFnQarXCN998Y/e1yspK4e9//7v0+I8//hB0Op1wzTXXCMXFxXavr6ioEJ5++mnBYDDU7QPIbNy4UQAgfP311zbPv/feewIA4ZVXXnH7PSdPniy0bt3a5f/L3+zcuVMAILz44ot2XzMYDEJeXp4PWlV/WrduLdx99921vg6A0KdPHwGA8MYbb9h8zZ3fAVeUlpbWy/u4Smz/2bNna3xddXW1EB8fLzz99NM2z589e1YAILz22ms2z//0008CAOGBBx5wqz3Ofme8pXv37sKIESNcfv2FCxcEo9FY6/fu2LHD7udUUVEhtG/fXhg8eLDNazMyMoTq6mpBEGr/eWRnZws6nU746KOPXG4zEZEvML2fiKiR27FjB3799VfMnDkTN910k93XQ0ND8frrr0uPFyxYAI1Gg88++8zh7FVYWBief/75ep/ld2T48OEAgNOnTwMAPv74Y2g0Guzdu9futS+99BJ0Oh0yMjIwcuRI/Prrrzh//ryU+qxM0zWZTHjxxRfRokULhIWFYcyYMTh16pTNa0aOHIkePXrgwIEDGDFiBCIiItChQwepHsCmTZswcOBAhIeHo3Pnzli/fr1duzIyMnDfffchKSkJoaGh6N69O5YtW1brZxc/89ChQ+2+ptPp0KxZM+mxo7Xhbdq0wbXXXostW7ZgwIABCAsLQ7t27fDpp5/avNezzz4LjUZj9384es8///wTEyZMQHx8PMLDw9G2bVvcd999Nt/3+uuvY8iQIWjWrBnCw8PRr1+/OtdPGDp0KEaPHo1XX30VFRUVtb7+t99+w/DhwxEZGYnY2Fhcf/31dstExM995MgR3HHHHYiLi5NmfMWfXXp6Ovr374/w8HD07NkT6enpAIDvvvsOPXv2RFhYGPr162fXHw8cOIB77rkH7dq1Q1hYGJKTk3HffffVOhvtzJYtW5CXl4exY8e69PrRo0cDMC8JAIAff/wRkydPRmpqKkJDQ9G+fXs8//zzMBqN0vfU9DvjbE3/sWPHcPPNN6Np06YICwtD//798dNPP9m8RuxHf/zxB+bMmYOEhARERkbihhtusFkP36ZNGxw+fBibNm2S/v+a0vUBoGXLltBqa7+V/eabb6DT6fDAAw9Iz4WFhWHmzJnYtm0bLl68KD2fmprqckZDYmIievXqhR9//NGl1xMR+QrT+4mIVK6oqAh5eXk2z2k0GikoFG/C77rrrlrfq7y8HL/99htGjhyJFi1a1H9j3SQGnHFxcQCAm2++GQ8//DA+++wz9O3b1+a1n332GUaOHInmzZvjqaeeQlFRES5duoQ333wTABAVFWXz+pdffhlarRb/+Mc/UFRUhFdffRV33nknduzYYfO6goICXHvttZg2bRpuueUWvPfee5g2bRo+++wzPPbYY/jLX/6CO+64A6+99hpuvvlmXLx4URosyc7OxqBBg6DRaDB79mwkJCRg1apVmDlzJoqLi2tcetC6dWvpcw0dOhRBQe5fsk+dOoWbb74ZM2fOxN13341ly5bhnnvuQb9+/dC9e3e33isnJwfjx49HQkICnnzyScTGxuLcuXP47rvvbF731ltv4brrrsOdd96J6upqrFixArfccgt++eUXTJ482e3PIHr22WdxzTXX4L333sOcOXOcvm79+vWYNGkS2rVrh2effRYVFRV45513MHToUOzZs8du8OeWW25Bx44d8dJLL0EQBOn5U6dO4Y477sCDDz6I6dOn4/XXX8eUKVOwdOlS/Otf/8L//d//AQAWLlyIW2+9FcePH5cC0HXr1uHMmTO49957kZycjMOHD+P999/H4cOHsX37doeDLDXZunUrNBqNXZ93RhwwEs8By5cvR1RUFObMmYOoqCj89ttvmDdvHoqLi/Haa68BgEu/M3KHDx/G0KFD0bx5czz55JOIjIzEV199halTp+Lbb7/FDTfcYPP6Rx55BHFxcZg/fz7OnTuHxYsXY/bs2fjyyy8BAIsXL8YjjzyCqKgoPPXUUwCApKQkN35Kzu3duxedOnVCdHS0zfMDBgwAAOzbtw8tW7b06L379euHH374oa5NJCJqWL5ONSAiIs+IqcGO/oSGhkqvu+GGGwQAQkFBQa3vuX//fgGA8Nhjj9l9LT8/X8jNzZX+VFVV1dtnEVPuly1bJuTm5gqZmZnC6tWrhQ4dOggajUbYuXOn9Nrbb79dSE1NldJ6BUEQ9uzZIwAQPv74Y+m52tL7u3btavMZ3nrrLQGAcPDgQem5ESNGCACEzz//XHru2LFjAgBBq9UK27dvl55fs2aNXRtmzpwppKSk2KXiT5s2TYiJiRHKy8ud/kxMJpP0/yclJQm33367sGTJEuH8+fN2r3WUJt66dWsBgLB582bpuZycHCE0NNRmOcf8+fMFR7cDyvf8/vvvXUqlV36m6upqoUePHsLo0aNtnncnvf/hhx8WBEEQRo0aJSQnJ0v/h6P0/j59+giJiYlCfn6+9Nz+/fsFrVYrzJgxw+5z33777Xb/p/iz27p1q/SceHzDw8NtjsF//vMfAYCwceNGpz8DQRCEL774wu54uJreP336dKFZs2Z2z4vp/QsWLBByc3OFrKwsIT09Xejbt68AQPj222+dtufBBx8UIiIihMrKSuk5Z78z4v8j79tjxowRevbsafP9JpNJGDJkiNCxY0e7zzh27FjBZDJJz//tb38TdDqdUFhYKD3nbnq/XE3f2717d7v+JwiCcPjwYQGAsHTpUoff58pyh5deekkAIGRnZ7vbZCIir2F6PxGRyi1ZsgTr1q2z+bNq1Srp68XFxQDgUqEp8bWOZvjatWuHhIQE6Y8yjbc+3HfffUhISEBqaiomTpyIoqIi/Pe//8XVV18tvWbGjBnIzMzExo0bpec+++wzhIeHO1y+4My9996LkJAQ6bG4lEC5M0FUVBSmTZsmPe7cuTNiY2PRtWtXDBw4UHpe/Lf4/YIg4Ntvv8WUKVMgCALy8vKkPxMmTEBRURH27NnjtH0ajQZr1qzBCy+8gLi4OHzxxRd4+OGH0bp1a9x2220oLCys9TN269ZN+lwAkJCQgM6dO3u0+0JsbCwA4JdffoFer3f6uvDwcOnfBQUFKCoqwvDhw2v8rK569tlnkZWVhaVLlzr8+uXLl7Fv3z7cc889aNq0qfR8r169MG7cOKxcudLue/7yl784fK9u3bph8ODB0mPx+I4ePRqtWrWye17+M5X/DCorK5GXl4dBgwYBgEc/h/z8fCnbxZH58+cjISEBycnJGDlyJE6fPo1XXnkFN954o117SkpKkJeXh+HDh6O8vNyjXSCuXLmC3377Dbfeeqv0fnl5ecjPz8eECRNw8uRJZGRk2HzPAw88YJPhMHz4cBiNRpw/f97t/99dFRUVDotchoWFSV/3lHhclNlWRET+hOn9REQqN2DAAPTv39/p18WU1pKSEilwc0YcGCgtLbX72o8//gi9Xo/9+/fjH//4R43vU11djStXrtg8l5CQUGsdgHnz5mH48OEoLS3F999/jxUrVtit2R03bhxSUlLw2WefYcyYMTCZTPjiiy9w/fXXu1VBWx64Adab94KCApvnW7RoYZeOHRMTY5cOHBMTY/P9ubm5KCwsxPvvv4/333/fYRtycnJqbGNoaCieeuopPPXUU7h8+TI2bdqEt956C1999RWCg4Pxv//9z63PCJg/p/IzumLEiBG46aabsGDBArz55psYOXIkpk6dijvuuMMmoPrll1/wwgsvYN++faiqqpKedzel3ZFrrrkGo0aNwquvvuowWBcDyM6dO9t9rWvXrlizZg3KysoQGRkpPe9o5wvA/mcnHt/ajjtgDooXLFiAFStW2B3joqIip5+vJoJs6YHSAw88gFtuuQVarVba1lF+TA4fPoynn34av/32mzSwV5f2nDp1CoIg4JlnnsEzzzzj8DU5OTlo3ry59NjV37eGEB4ebtMXRZWVldLXPSUel/ro30REDYVBPxFRIydu63bw4EGbWV9HOnTogKCgIBw6dMjuayNGjAAAl9aWb9261W5rsbNnzzrd81rUs2dPqVjZ1KlTUV5ejlmzZmHYsGFSsKXT6XDHHXfggw8+wLvvvos//vgDmZmZmD59eq3tknM2AKEMrpy9rrbvN5lMAIDp06fj7rvvdvjaXr16udRWAEhJScG0adNw0003oXv37vjqq6+wfPnyGo+HK5/RWbAiL/Imvu6bb77B9u3b8fPPP2PNmjW477778MYbb2D79u2IiorC77//juuuuw7XXHMN3n33XaSkpCA4OBgff/wxPv/8c5c/a03mz5+PkSNH4j//+U+tg1iucBbweXrcAeDWW2/F1q1b8fjjj6NPnz6IioqCyWTCxIkTpX7hjmbNmtUYHHfs2NFpkb/CwkKMGDEC0dHReO6559C+fXuEhYVhz549+Oc//+lRe8Tv+cc//oEJEyY4fI18y1DA9d+3hpCSkmKXeQCYM0MA1Lo1X03E4xIfH+/xexARNTQG/UREjdyUKVOwcOFC/O9//6s16I+MjMTIkSOxadMmZGRk2MzUuaN3795Yt26dzXPJycluv8/LL7+M77//Hi+++KJNSveMGTPwxhtv4Oeff8aqVauQkJBgF3z4euYtISEBTZo0gdFodLnquiuCg4PRq1cvnDx5Enl5eR79XOXEGdfCwkKbINpZ2vWgQYMwaNAgvPjii/j8889x5513YsWKFbj//vvx7bffIiwsDGvWrLGZaf7444/r1Ea5ESNGYOTIkXjllVcwb948m6+JxQ+PHz9u933Hjh1DfHy8zSx/QygoKMCGDRuwYMECm/adPHnS4/fs0qULPvvsMxQVFUmZBa5KT09Hfn4+vvvuO1xzzTXS82JlfzlXf2fatWsHwNwX67NvN9TvbJ8+fbBx40YUFxfbFPMTi3b26dPH4/c+e/Ys4uPjkZCQUNdmEhE1GK7pJyJq5AYPHoyJEyfiww8/dFhlurq62iZdf968eTAajZg+fbrDNH9XZubi4uIwduxYmz/i+ll3tG/fHjfddBOWL1+OrKws6flevXqhV69e+PDDD/Htt99i2rRpdjPekZGRHqdS1wedToebbroJ3377rcPMCfl2ZY6cPHkSFy5csHu+sLAQ27ZtQ1xcXL0EGu3btwcAbN68WXqurKwMn3zyic3rCgoK7I69GCyJqdM6nQ4ajcYmS+DcuXP1Xt1cXNuvXDaRkpKCPn364JNPPrGpeXDo0CGsXbsWaWlp9doOR8QZbeXPavHixR6/5+DBgyEIAnbv3l0v7amursa7775r91pXf2cSExOlbAtxtlyutr7tTGRkpEu1Ktx18803w2g02vSXqqoqfPzxxxg4cKDHlfsBYPfu3Ta1H4iI/BFn+omIVG7VqlUOi3ENGTJEmpH79NNPMX78eNx4442YMmUKxowZg8jISJw8eRIrVqzA5cuX8frrrwMwF9j697//jUceeQQdO3bEnXfeiS5duqC6uhonTpzAZ599hpCQkDrPMLvq8ccfx1dffYXFixfj5Zdflp6fMWOGNFjhKLW/X79++PLLLzFnzhxcffXViIqKwpQpU7zSZtHLL7+MjRs3YuDAgZg1axa6deuGK1euYM+ePVi/fr1d3QO5/fv344477sCkSZMwfPhwNG3aFBkZGfjkk0+QmZmJxYsX11ojwRXjx49Hq1atMHPmTDz++OPQ6XRYtmwZEhISbAYdPvnkE7z77ru44YYb0L59e5SUlOCDDz5AdHS0FExPnjwZixYtwsSJE3HHHXcgJycHS5YsQYcOHXDgwIE6t1U0YsQIjBgxAps2bbL72muvvYZJkyZh8ODBmDlzprRlX0xMDJ599tl6a4Mz0dHRuOaaa/Dqq69Cr9ejefPmWLt2rcOZdVcNGzYMzZo1w/r16zF69Gi3vnfIkCGIi4vD3XffjUcffRQajQb//e9/HQ7eufM7s2TJEgwbNgw9e/bErFmz0K5dO2RnZ2Pbtm24dOkS9u/f7/bn7NevH9577z288MIL6NChAxITE2v8vJs3b5YGq3Jzc1FWVoYXXngBgLn+g5jZMHDgQNxyyy2YO3cucnJy0KFDB3zyySc4d+4cPvroI5v3PHDggFSk9NSpUygqKpLes3fv3jY/j5ycHBw4cAAPP/yw25+ViMirvL9hABER1YeatuyDYnstQTBv2/X6668LV199tRAVFSWEhIQIHTt2FB555BHh1KlTdu+/d+9eYcaMGUKrVq2EkJAQITIyUujVq5fw97//3eHr60LcRu/rr792+PWRI0cK0dHRNtt7Xb58WdDpdEKnTp0cfk9paalwxx13CLGxsQIAaestZ/+Xo23JRowYIXTv3t3uvVu3bi1MnjzZ7nnItpcTZWdnCw8//LDQsmVLITg4WEhOThbGjBkjvP/++w7bLf++l19+WRgxYoSQkpIiBAUFCXFxccLo0aOFb775xua1zrbsc9TGESNG2G1ttnv3bmHgwIFCSEiI0KpVK2HRokV277lnzx7h9ttvF1q1aiWEhoYKiYmJwrXXXiv8+eefNu/10UcfCR07dhRCQ0OFLl26CB9//LHDbQE92bJPTjyOcLCN4Pr164WhQ4cK4eHhQnR0tDBlyhThyJEjNq8R25Sbm2v33u4cX7HfvPbaa9Jzly5dEm644QYhNjZWiImJEW655RYhMzNTACDMnz9fep2rW/YJgiA8+uijQocOHWr9vx35448/hEGDBgnh4eFCamqq8MQTT0hbEMq3GnT2O+Pod0MQBOH06dPCjBkzhOTkZCE4OFho3ry5cO2119r0T0fbKgqC9fjJ//+srCxh8uTJQpMmTQQAtW7fJx5DR3/kP2dBEISKigrhH//4h5CcnCyEhoYKV199tbB69Wq796zpvKrsr++9954QEREhFBcX19hOIiJf0wiCFyqoEBER1bO8vDykpKRg3rx5TiuIEzUWZ86cQZcuXbBq1SqMGTPG180hAH379sXIkSPx5ptv+ropREQ14pp+IiJSpeXLl8NoNOKuu+7ydVOIGly7du0wc+ZMmyUu5DurV6/GyZMnMXfuXF83hYioVpzpJyIiVfntt99w5MgRPPPMMxg1ahS+++47XzeJiIiIyG8x6CciIlUZOXIktm7diqFDh+J///ufx9sKEhEREQUCVaX3b968GVOmTEFqaio0Gk2tWwB99913GDduHBISEhAdHY3BgwdjzZo1Nq959tlnodFobP506dKlAT8FERHVRXp6Oqqrq7Fx40YG/ERERES1UFXQX1ZWht69e2PJkiUuvX7z5s0YN24cVq5cid27d2PUqFGYMmUK9u7da/O67t274/Lly9KfLVu2NETziYiIiIiIiLwqyNcNcMekSZMwadIkl1+/ePFim8cvvfQSfvzxR/z888/o27ev9HxQUJDX9psmIiIiIiIi8hZVBf11ZTKZUFJSgqZNm9o8f/LkSaSmpiIsLAyDBw/GwoUL0apVK6fvU1VVhaqqKpv3vXLlCpo1awaNRtNg7SciIiIiIiICAEEQUFJSgtTUVGi1zpP4Ayrof/3111FaWopbb71Vem7gwIFYvnw5OnfujMuXL2PBggUYPnw4Dh06hCZNmjh8n4ULF2LBggXeajYRERERERGRQxcvXkSLFi2cfl211fs1Gg2+//57TJ061aXXf/7555g1axZ+/PFHjB071unrCgsL0bp1ayxatAgzZ850+BrlTH9RURFatWqFs2fPOh0o8Ad6vR4bN27EqFGjEBwc7OvmkBM8Tv6Px0gdeJzUgcfJ//EYqQOPkzrwOKmDWo5TSUkJ2rZti8LCQsTExDh9XUDM9K9YsQL3338/vv766xoDfgCIjY1Fp06dcOrUKaevCQ0NRWhoqN3zTZs2RXR0dJ3b21D0ej0iIiLQrFkzv+68gY7Hyf/xGKkDj5M68Dj5Px4jdeBxUgceJ3VQy3ES21bbEnNVVe/3xBdffIF7770XX3zxBSZPnlzr60tLS3H69GmkpKR4oXVEREREREREDUdVM/2lpaU2M/Bnz57Fvn370LRpU7Rq1Qpz585FRkYGPv30UwDmlP67774bb731FgYOHIisrCwAQHh4uJT+8I9//ANTpkxB69atkZmZifnz50On0+H222/3/gckIiIiIiIiqkeqmun/888/0bdvX2m7vTlz5qBv376YN28eAODy5cu4cOGC9Pr3338fBoMBDz/8MFJSUqQ/f/3rX6XXXLp0Cbfffjs6d+6MW2+9Fc2aNcP27duRkJDg3Q9HREREREREVM9UNdM/cuRI1FR3cPny5TaP09PTa33PFStW1LFVRERERERERP5JVTP9REREREREROQ6Bv1EREREREREjRSDfiIiIiIiIqJGikE/ERERERERUSPFoJ+IiIiIiIiokWLQT0REfsdgNGHPhQLojSZfN4WIiIhI1Rj0ExGR33nh16O48d2teO7nI75uChEREZGqMegnIiK/s3zrOQDAf7ef921DiIiIiFSOQT8RERERERFRI8Wgn4iIiIiIiKiRYtBPRERERERE1Egx6CciIiIiIiJqpBj0ExERERERETVSDPqJiIiIiIiIGikG/URERERERESNFIN+IiIiIiIiokaKQT8REfktrcbXLSCixuJQRhGe/ekwrpRV+7opRERexaCfiIj8lo5RPznwze5LuOOD7SgsZ/BGrrv2nS1YvvUcnvnhkK+bQkTkVQz6yesEQcDFK+UQBMHXTSEiP8egnxz5x9f7sfV0PhavP+nrppAKHcgo9HUTiIi8ikE/ed37m89g+Ksb8W76aV83hYj8nFbDoJ+cK+BMP3lAb+CkAxEFFgb95HULVx0DALy25riPW0JE/o4JQVQTE/sHecBgMvm6CUREXsWgn7wuOizI100gIpUwMeqnGrB/kCeqDQz6iSiwMOgnr0uNDfd1E4hIJRjUUU1YG4Y8YWCKCBEFGAb95HVNI0N83QQiUgkjb86pBszSJk/ojew4RBRYGPQTEZFfkc/eMuanmhg5008e0BvZb4gosDDoJyIiv8JAn1zF9H4iIqLaMegnIiK/wnX85CoOEBEREdWOQT95He/niagmDPrJVewrREREtWPQTz7F1EwiUmJxNqqJ/LrBQo9ERES1Y9BPPsX7NQKAI5nFWLrpNPdOJgCcvaWayQN9dhUiIqLaqSro37x5M6ZMmYLU1FRoNBr88MMPtX5Peno6rrrqKoSGhqJDhw5Yvny53WuWLFmCNm3aICwsDAMHDsTOnTvrv/HkEG/uCQDS3v4dL686hk+3nfN1U8gPKCuyMyOI5OSV13kNISIiqp2qgv6ysjL07t0bS5Yscen1Z8+exeTJkzFq1Cjs27cPjz32GO6//36sWbNGes2XX36JOXPmYP78+dizZw969+6NCRMmICcnp6E+BskwNZPkjlwu9nUTyA8IioQPniZITi9b/8Ggn4iIqHZBvm6AOyZNmoRJkya5/PqlS5eibdu2eOONNwAAXbt2xZYtW/Dmm29iwoQJAIBFixZh1qxZuPfee6Xv+fXXX7Fs2TI8+eST9f8hCAI4S0OO6TQaXzeB/IBypt9oEqDTsm+QmV62DIiXEPIETydUF6dzSxEXEYKmkSG+bgqRy1QV9Ltr27ZtGDt2rM1zEyZMwGOPPQYAqK6uxu7duzF37lzp61qtFmPHjsW2bducvm9VVRWqqqqkx8XF5tlJvV4PvV5fj5+gfolt83Ub5am6VdV6BGt41ybnL8fJFzQQVPG5A/kYeUN1dbXdY42gc/t9eJzUwd3jVFFl7R+CoI5zhto1ht8leWahTqtR9WdxpjEcJ393/ko5xr65BaFBWhyaP7b2b3CAx0kd1HKcXG1fow76s7KykJSUZPNcUlISiouLUVFRgYKCAhiNRoevOXbsmNP3XbhwIRYsWGD3/Nq1axEREVE/jW9A69at8+n/n5+vhbiyZPWatYho1L3Qc74+Tt5l7gQZly5i5crzPm6L6wLrGHlPcTUgvzytWr0GIe7H/BIeJ3Vw9TjlVwJi/8jLv4KVK1c2XKPIhpp/l/QmQDqvmEyNut+o+Tj5u82XNQB0qDLUvQ/xOKmDvx+n8vJyl17HcMsDc+fOxZw5c6THxcXFaNmyJcaPH4/o6Ggftqxmer0e69atw7hx4xAcHOyzdnyetQunigsAAGPGjkVcBNOj5PzlOHnTX7etBQC0a9MaaWldfdya2gXiMfKmrOJKYPdm6fHY8eMRFer+5YrHSR3cPU7n8suAvX8AAGLj4pCWNqChmxjwGsPvUkmlAdjxGwAgJDgIaWkTfNyi+tcYjpO/O7HhFHDuDAAgLS3No/fgcVIHtRwnMeO8No066E9OTkZ2drbNc9nZ2YiOjkZ4eDh0Oh10Op3D1yQnJzt939DQUISGhto9Hxwc7NedQuT7dloX0+l0Qar4mfmC74+T9wUHqas/BOIx8gadzmD7uI79gsdJHVw9ToLGmvZhEsBj60Vq/l3SVFvT+7VajWo/hyvUfJz8XUGF9fpU158xj5M6+PtxcrVtqqre767Bgwdjw4YNNs+tW7cOgwcPBgCEhISgX79+Nq8xmUzYsGGD9Bqqf/LCS8qCXRR4TLJ1lkE6Vlci+109TCzfTzJ6o7yQH/sGucbA8wjVg7ySqtpfROSHVBX0l5aWYt++fdi3bx8A85Z8+/btw4ULFwCY0+5nzJghvf4vf/kLzpw5gyeeeALHjh3Du+++i6+++gp/+9vfpNfMmTMHH3zwAT755BMcPXoUDz30EMrKyqRq/lT/5IE+79eoSlaJW8vq/QT78wLv1UlOPijEgWNylXyAiAOJ5Klqo6n2FxH5IVWl9//5558YNWqU9FhcV3/33Xdj+fLluHz5sjQAAABt27bFr7/+ir/97W9466230KJFC3z44YfSdn0AcNtttyE3Nxfz5s1DVlYW+vTpg9WrV9sV96P6Y3PDxgtvwKvUG6V/61Q1DEkNxdGWfUQieXcw8f6bXCQ/r/CUQkSBRlVB/8iRI2tM5Vu+fLnD79m7d2+N7zt79mzMnj27rs0jF5kEBv1kVcU9t0nBpOgITOEmOfl1Q9lXiJyxGSxiv6F6YDIJ0GqZoUjqwHk18joT0/tJRj7Tr2faHME+yOfYIMmZBAb95D4TB4uonrFOBKkJg37yOnlcx/WYJJ/p1xvZH8j2HAHwPEG2TFwiRh4wMb2f6oF8Xp/nH1ITBv3kdbxhIzn57L6BC3QJ9rNwLLpFciwGS55gej/VNw5Ik5ow6Cevs71h4wkz0Mm7gIEz/QQHW/bxPEEyJmaLkQfk5xVB4P0H1Z2R9yykIgz6yetM3G6JZOR9gOn9BHDLPqoZ1/STJ1grhOobsxNJTRj0k9fJgzym95P8pp0XUALsBwMZ2JGczdZrPGWQi3heofogv23lxBWpCYN+8jpW7yc5+ewL0/sJ4Jp+qhmrsJMnlANEnHQgT3DbaVIrBv3kdTbrMXnCDHjySu3cso8ApuFSzWxm2tg5yEXKASKOF5En5JMTnKggNWHQT15n5Jp+kjHZrOln0E8OtuxjYEcyRpuZfh82hFRFGfTz/oM8YWRNEVIpBv3kdazeT3LyVF0D7+AJDtL7eZ4gGRbyI08oLy/sO+QJI+9ZSKUY9JPX2VTv58RuwJNfMznTT4D9Gn7enJMcg37yhDJjSODlhjxgk63KoJ9UhEE/eR1To0iOlbhJyX5GzjftIP/Em27yhDKzkOn95Amef0itGPST19lUXuYJM+Bx1o6UuLUW1YQ7wJAnmN5P9YFBP6kVg37yOu5xSnLcfouUuGUf1YQ7wJAnlH2F1xvyBNf0k1ox6CevY+VlkrMdBPJdO8h/2K/p91FDyC9xiRh5wm4rUC4nIw/Izz8cdCQ1YdBPXme7hpsnzEBn4m4OpKA8LfDGiuSYHUSe4LIhqg9M7ye1YtBPXmfiCZNk2B9ISXkzzsEgkpOfJnjKIFdxTT/VB9v0fqaLkHow6CevY+E2kuMNPCkpM4BY+4PkmF5LnrBbNsR4jTxgs0SVfYhUhEE/eZ1tkMcbtkDH5R6kxC37qCbK8wQzQcgVdgVC2W/IA5zpJ7Vi0E9eZbdPLs+XAU9g5gcpcO0t1UTZHzjbT66wqxXC8wp5gJlGpFYM+smruKaOlIwsykUK9lW22S/Iyn7rNR81hFRF2W+YIUKeYCE/UisG/eRVTK8jJa7pJyUGdVQTXkfIE3aDiew25AEG/aRWDPrJq3izRkrcfouUuGUf1YQZY+QJZTo/zyvkCds1/exDpB4M+smrlPdmXNNPJq6PIwVu2Uc1UZ4neN4gV3CwiOoDlySSWjHoJ6/iTD8pyWdf2B0IcLC1FvsFybB/kCeUg4e83pAn5EE/+xCpCYN+8irlzRln8IhbOJISq2xTTexmbBn1kwuYIUL1gdX7Sa0Y9JNXsUAXKQm8gJKCMsjn4CDJcUtH8gTT+6muBEFgej+pFoN+8ir76rk8YQY62wuoDxtCfkN5nuBgEMkpZ/aZCUKu4LIQqisOHJGaMegnr2JaJikxvZ+UmBFENbEv9OijhpCqsKYQ1RWvTaRmDPrJq+wvuj5qCPkNbtlHShwcpJpw6zXyBM8rVFccOCI1U13Qv2TJErRp0wZhYWEYOHAgdu7c6fS1I0eOhEajsfszefJk6TX33HOP3dcnTpzojY8SkHjCJCVu2UdKXAZENbFP02b/oNrZDRax35Cb7O5hec9CKhLk6wa448svv8ScOXOwdOlSDBw4EIsXL8aECRNw/PhxJCYm2r3+u+++Q3V1tfQ4Pz8fvXv3xi233GLzuokTJ+Ljjz+WHoeGhjbchwhwymssz5fELftIiSmUVBP7GVvftIPUhVv2UV3Zr+n3TTuIPKGqmf5FixZh1qxZuPfee9GtWzcsXboUERERWLZsmcPXN23aFMnJydKfdevWISIiwi7oDw0NtXldXFycNz5OQLJfi8kzZqCTdwHO2BHALfuoZvaDQuwfVDv2G6orbvtIaqaamf7q6mrs3r0bc+fOlZ7TarUYO3Ystm3b5tJ7fPTRR5g2bRoiIyNtnk9PT0diYiLi4uIwevRovPDCC2jWrJnT96mqqkJVVZX0uLi4GACg1+uh1+vd+VheJbbNl22srrb9v6sNBr/+mfmCPxwnb6rWG6R/G02CKj53oB0jb9MbDDaPDR6eJ3ic1MHd42QwGm0eV1X797W3MWgMv0t6g22/qdY3vvuPxnCc/JnyHtZgNPLa1Iip5Ti52j6NoJKp1szMTDRv3hxbt27F4MGDpeefeOIJbNq0CTt27Kjx+3fu3ImBAwdix44dGDBggPT8ihUrEBERgbZt2+L06dP417/+haioKGzbtg06nc7hez377LNYsGCB3fOff/45IiIiPPyEgSG/Enhur3WsaUorI8Y2V0UXpAay6qIGqy+Zf9d0GgGLBhlr+Q5q7NZc0mDlRev598Y2RoxI4XmCzL46o8Uf2dZExbm9DUjmpZdqsTFTgx/OW88rD3QxonsczyvkulI98NSf1nvY61sbMTqVfYh8q7y8HHfccQeKiooQHR3t9HWqmemvq48++gg9e/a0CfgBYNq0adK/e/bsiV69eqF9+/ZIT0/HmDFjHL7X3LlzMWfOHOlxcXExWrZsifHjx9f4w/Y1vV6PdevWYdy4cQgODvZJGy5cKQf2bpEed+rUGWkj2vmkLf7KH46TN53ccAq4dMb8QKNFWtoE3zbIBYF2jLzt9G+ngYunpcddunZD2pDWbr8Pj5M6uHuctv54BMi+JD0eNnw4OiU1acgmBrzG8LuUseUscP6k9Lhf//4Y3TnBhy2qf43hOPmzvNIq4M9N0uNOnbsgbXhbt9+Hx0kd1HKcxIzz2qgm6I+Pj4dOp0N2drbN89nZ2UhOTq7xe8vKyrBixQo899xztf4/7dq1Q3x8PE6dOuU06A8NDXVY7C84ONivO4XIl+3U6Wy7nEarVcXPzBfU0p/qTGOdsTMJgqo+c8AcI2/T2pab0Wjqdp7gcVIH14+TxuaRVhfE4+slav5d0mh0iseN9/5DzcfJn2l1tpmIdb2H5XFSB38/Tq62TTWF/EJCQtCvXz9s2LBBes5kMmHDhg026f6OfP3116iqqsL06dNr/X8uXbqE/Px8pKSk1LnNZM9+yz4fNYT8hklRvV8lK46oAXHLPqqJsj+wmBa5gvcfVFfcso/UTDVBPwDMmTMHH3zwAT755BMcPXoUDz30EMrKynDvvfcCAGbMmGFT6E/00UcfYerUqXbF+UpLS/H4449j+/btOHfuHDZs2IDrr78eHTp0wIQJ/p9irEb2253whBnolJXZeQ0lbtlHNVGeM3gZIVcoAzTef5C7eG0iNVNNej8A3HbbbcjNzcW8efOQlZWFPn36YPXq1UhKSgIAXLhwAVpFWujx48exZcsWrF271u79dDodDhw4gE8++QSFhYVITU3F+PHj8fzzzztM36e6s5vB4xkz4Cnvu0yCAJ0ifZcCCwcHqSbK6wa3dCRX2A8ws9+Qe5RdhllGpCaqCvoBYPbs2Zg9e7bDr6Wnp9s917lzZ6fpwuHh4VizZk19No9qYX8z75t2kP9wtO9tsOONMyhAMIWSasJBIfIE7z+orpTnGi5HJDVRVXo/qZ/9mjqeMAOd/UXURw0hv8GZXKqJ3YwtozdyATMNqa6Y3k9qxqCfvIqFdEiJAR4psc4D1cR+bbaPGkKqYh+wseOQe5TnGt6vkJow6CevMplsHzM1ipiqS0rKLsDzBMmxej95gun9VFfMViU1Y9BPXsWbNVKyq8RtcvJCChg8T1BNjBw8Jg+wVgjVFfsQqRmDfvIqpveTkvKGnelyxHWTVBNeR8gT3LKP6orXJlIzBv3kVUzlJiXlkg/2CeJ5gmpilwnC/kEuYHo/1RW37CM1Y9BPXqWc1WVaJrESNynZzcixT5AMC7KRJzhYRHWlPPfwHpbUhEE/eRVH2kmJqbqkJPYJrcb8mDfnJMd1teQJ7rFOdcX7FVIzBv3kVRxpJyVu2UdKYh8I0pkvUewSJGe/JMg37SB1Uc7SMjWb3MUt+0jNGPSTV3GknZTssj94IxbwxNNCsGWqn+nbJKe80WbwRq5gpiHVFe9hSc0Y9JNXKc+PyhkbCjx2W/bxGhrwxBsrnSXoZ1BHcsqBQd54kytYU4jqyi4zkdcmUhEG/eRV9uuheMIMdNyyj5TEG6lgS3o/76tIjsvEyBNM76e6sis8zC5EKhLkyTdduHAB58+fR3l5ORISEtC9e3eEhobWd9uoEWJ6HSmxEjcpiV0gSGdJ7+eJgmSMvI6QB3j/QXVll63K+xVSEZeD/nPnzuG9997DihUrcOnSJZvZuZCQEAwfPhwPPPAAbrrpJmi1TCAgxzjTT0pc009K4kBQkFac6WefICtu6Uie4P0H1ZXdJAXPPaQiLkXnjz76KHr37o2zZ8/ihRdewJEjR1BUVITq6mpkZWVh5cqVGDZsGObNm4devXph165dDd1uUillKjcvumTfJ3zUEPIb4nkh2DLTz/RtkmPwRp7gVo9UV9yyj9TMpZn+yMhInDlzBs2aNbP7WmJiIkaPHo3Ro0dj/vz5WL16NS5evIirr7663htL6setlkiJ6f2kJPYBbtlHjlhrPmigNwpcm00uYXo/1RXriZCauRT0L1y40OU3nDhxoseNocaPMzSkZLfvLe/EAp7YBYK4ZR85IA0KabXQG40cFCKX2C0LYcchNyknrrgDBKmJy4vv+/fvj6VLl6K4uLgh20ONnDKe4wmT7Pe99VFDyG9YZ/q5ZR/ZkwaFuPyD3KDcCpRBP7nLbqaf1yZSEZeD/t69e+OJJ55ASkoK7rrrLqSnpzdgs6ixsl9T56OGkN9guhwpKQv5sUuQnElK72ehR3Kd9bzCoJ88wzX9pGYuB/0fffQRsrKysGTJEly8eBFjxoxBhw4d8NJLLyEjI6Mh20iNCAM8UuKaflISu0AwZ/rJAaOgCN7YP8gFJum8Yr71NXLSgdzEbFVSM7f21ouIiMA999yD9PR0nDhxAtOmTcN//vMftGnTBpMnT8Z3333XUO2kRoInTFLiln2kxC37qCbW3R3E/uHL1pBaKJcN8f6D3KUcgOaANKmJW0G/XPv27fHCCy/g3Llz+OKLL7B9+3bccsst9dk2aoS4PRsp2RdX8lFDyG8ob87ZJ0hOXBbGTBByh0mZIcKgn9zE9H5SM5eq9zuTnp6Ojz/+GN9++y2CgoIwa9as+moXNVKs3k9K7BOkZD+Tyz5BVlImCPsHucG6KwjT+8kzvF8hNXM76L906RKWL1+O5cuX48yZMxg+fDjeffdd3HLLLQgPD2+INlIjoizcx1FSMjK9nxS4ZR/VhDO25AmTSZlBxH5D7rG/h2UfIvVwOej/6quvsGzZMmzYsAGJiYm4++67cd9996FDhw4N2T5qZOyr9/OEGei45IOUjIqbc6ZvkxzX9JMnlP2Ga/rJXdyyj9TM5aB/+vTpmDx5Mr7//nukpaVBq/W4HAAFMOU1lqOkxB0dSEmQZnK5ZR/Z46AQeUK5ZR+vNeQuruknNXM56L906RISExMbsi0UALgeipSU6yrZJ0hK72dQRw5IW69pOWNLrhOk8wozRMgz3IGK1MzloF8e8GdmZmLLli3IycmBSbHA5dFHH62/1lGjY7c9G8+XAc8uvZ+dIuApZ+Q4EERy4jkiOEgcFPJla0gt7GpB8FpDbhKvTVqN+f6VA9KkJm4X8lu+fDkefPBBhISEoFmzZtBoNNLXNBoNg36qkfLmnaOkpLxo8hpK9mtvfdka8jcmxfIPDgqRK8R0fhbyI09JS890WlQbTLxfIVVxO+h/5plnMG/ePMydO5fr+slt1pt5DfRGgaOkxCUfZEc8L4hBP9fekpxRdh0BeM4g1yiXhfD2g9wlXZu0GlSD5x5SF7ej9vLyckybNs1nAf+SJUvQpk0bhIWFYeDAgdi5c6fT1y5fvhwajcbmT1hYmM1rBEHAvHnzkJKSgvDwcIwdOxYnT55s6I8RsKQtc3jRJQu7JR/sFAGPQR3VRFxVyJl+cofdln281pCbrPVmeO4h9XE7cp85cya+/vrrhmhLrb788kvMmTMH8+fPx549e9C7d29MmDABOTk5Tr8nOjoaly9flv6cP3/e5uuvvvoq3n77bSxduhQ7duxAZGQkJkyYgMrKyob+OAFJ3JNdXFPH9H4y2QV4vmwN+QOTYqafN+ckZ1KkaXNNP7nCJEvNlj8mcpV9XQhftobIPW6n9y9cuBDXXnstVq9ejZ49eyI4ONjm64sWLaq3xiktWrQIs2bNwr333gsAWLp0KX799VcsW7YMTz75pMPv0Wg0SE5Odvg1QRCwePFiPP3007j++usBAJ9++imSkpLwww8/YNq0aQ3zQQKYYLemzpetIX9glGV/6I1GpnKTbO0tM4LIntGu5gM7CNXOpJh04HmF3KVcesaBI1ITj4L+NWvWoHPnzgBgV8ivoVRXV2P37t2YO3eu9JxWq8XYsWOxbds2p99XWlqK1q1bw2Qy4aqrrsJLL72E7t27AwDOnj2LrKwsjB07Vnp9TEwMBg4ciG3btjkN+quqqlBVVSU9Li4uBgDo9Xro9fo6fc6GJLbNl23UG4wAAJ24T67J5Nc/M1/wh+PkTTYpl3pArzf4/WcPtGPkbWKf0ML8t6fnCR4ndXDnOAmCIBV2tIwdQ28w8hg3sMbwu2S0pISI/cZgbHz9pjEcJ38m3sMGWfKkeW1q3NRynFxtn9tB/xtvvIFly5bhnnvucfdb6yQvLw9GoxFJSUk2zyclJeHYsWMOv6dz585YtmwZevXqhaKiIrz++usYMmQIDh8+jBYtWiArK0t6D+V7il9zZOHChViwYIHd82vXrkVERIS7H83r1q1b57P/+0iGBoAOhuoqABoUFhVj5cqVPmuPP/PlcfKm8godAA1MBj0ADfbu24egjL2+bpZLAuUYeVtZublPnD55HICuzucJHid1cOU4mceDzLcumRkXAWhx+uxZrFx5ukHbRmZq/l0qLjGfV3JzsgBokZl5GStXZvi6WQ1CzcfJnx29ZL6Hra6sAKBBcUkpr00BwN+PU3l5uUuvczvoDw0NxdChQ91ukC8MHjwYgwcPlh4PGTIEXbt2xX/+8x88//zzHr/v3LlzMWfOHOlxcXExWrZsifHjxyM6OrpObW5Ier0e69atw7hx4+yWZXjLhU1ngAunEBUZgcLqCkRFNUFa2hCftMVf+cNx8qYXD20CqqsQGR6GspIq9OzVC2l9m/u6WTUKtGPkbWKf6NGtK36+cMLj8wSPkzq4c5yqDSZg+3oAQPs2rbE1+yJatW6DtLQu3mhqwGoMv0tvndwCVJSjRWoq9uVnITE5GWlpfXzdrHrVGI6TPzu98TRw8TRioqOQU1mGiIhIpKUNc/t9eJzUQS3HScw4r43bQf9f//pXvPPOO3j77bfdblRdxMfHQ6fTITs72+b57Oxsp2v2lYKDg9G3b1+cOnUKAKTvy87ORkpKis179unTx+n7hIaGIjQ01OH7+3OnEPm0nRpzTpS0FtPSHrKnlv5UV9I2SpY+odHqVPO5A+UYeZu4TjIsxPyzNaFu5wkeJ3Vw5TgZYZT+HRJsvoXRaDQ8vl6i5t8lAea8/pBgnfRYrZ+lNmo+Tn7Ncg8bEmTuQ7w2BQZ/P06uts3t6v07d+7EJ598gnbt2mHKlCm48cYbbf40lJCQEPTr1w8bNmyQnjOZTNiwYYPNbH5NjEYjDh48KAX4bdu2RXJyss17FhcXY8eOHS6/J7nHvpAOi6AEOrEP6LTcRonMjMqttXieIAt5X7BW72f/oNpJO8VoWQCSPGOtQcRCfqQ+bs/0x8bGNmhwX5M5c+bg7rvvRv/+/TFgwAAsXrwYZWVlUjX/GTNmoHnz5li4cCEA4LnnnsOgQYPQoUMHFBYW4rXXXsP58+dx//33AzDPDjz22GN44YUX0LFjR7Rt2xbPPPMMUlNTMXXqVJ98xsbOqAjweL4k5fZbvH8nuwrJ7BRkIQ/wxeCN3YNcoRxM5GARuUvaOYRb9pEKuR30f/zxxw3RDpfcdtttyM3Nxbx585CVlYU+ffpg9erVUiG+CxcuQKu1Ji8UFBRg1qxZyMrKQlxcHPr164etW7eiW7du0mueeOIJlJWV4YEHHkBhYSGGDRuG1atXIywszOufLxAIiq2WOEpKUoBn+d3lln1kXfLBgSCyJb/J5qAQuUOQziscLCLPmLhlH6mY20G/r82ePRuzZ892+LX09HSbx2+++SbefPPNGt9Po9Hgueeew3PPPVdfTaQa2I2084QZ8MQuIPYJplySdJ7Q8saKbDlK72f/IFeI5xUdlxeShwxi0B/EaxOpj0tr+idOnIjt27fX+rqSkhK88sorWLJkSZ0bRo2TNIMn3swzNSrgGZVr5Dj9EvCkFEod6zyQLflAsVgbhoPH5Ar7pWTsN+Qe8X4lRFoi4svWELnHpZn+W265BTfddBNiYmIwZcoU9O/fH6mpqQgLC0NBQQGOHDmCLVu2YOXKlZg8eTJee+21hm43qZRgt6afF91AZ1KskTOySwQ88bwQxDXbpCAOAGk1rA1D7lEW8uOkA7nLpLg28R6W1MSloH/mzJmYPn06vv76a3z55Zd4//33UVRUBMCcHt+tWzdMmDABu3btQteuXRu0waRu9lW5fdka8gfK2RdeRMmoSKHkTC6JxGuGTquBRsOCbOQ6ed8xP2a/IfdwiSqpmctr+kNDQzF9+nRMnz4dAFBUVISKigo0a9bMr/cuJP/CLftIydonLAEeb+ADmiAIsmVAHAgiW+JNtkajgeW+m9cRcolJuWyI/YbcJPaZEC5HJBXyuJBfTEwMYmJi6rMtFACss7osgkJm3LKP5OTHXzxPcCCIROJNtk6jgZaDx+QGu/ox7DbkJuVMP089pCYuFfIjqi/2I+2+bA35miAI1ur9rNROUOzDzvMEKZhkdWG0Gu6VTa5TbrfGwURyl1i4T+pDvF8hFWHQT15l3TKHAR7ZBnOs1E6A7TmBeyGTkngN0WggBf288SZXKHcF4bIhcpd14orXJlIfBv3kVcq1ugzwApt8poUplwQo+wTPE2RLPtNvOWUweCOXiBkh3BWEPCUVmdUxy4jUh0E/eZW0HpNbLREUs7rcc5ug3IedN+dkS6rArmH1fnKPUVE/hv2G3GVkXSpSMY+C/sLCQnz44YeYO3curly5AgDYs2cPMjIy6rVx1PgoC/kxwAts8gsmt+wjABBkMychPE+QgjW9XwOdhjUfyHWs3k91JdWFYBFRUiG3q/cfOHAAY8eORUxMDM6dO4dZs2ahadOm+O6773DhwgV8+umnDdFOaiSk9H5edAms1E72jBwIohpY68IAlkQQXkeoVo6KxrLbkLuMimKQJsHct8SsIyJ/5vZM/5w5c3DPPffg5MmTCAsLk55PS0vD5s2b67Vx1PjI12OaH/uyNeRrNpXa2ScIijX97BOkIAZqOo2sej+jN6qF7a4gzCAizyizVQEOHpF6uB3079q1Cw8++KDd882bN0dWVla9NIoaL2XlU87gBTbBZlaXfYJsBwa5ZpuUxEBNIwv62T+oNvIAn5mG5CllIT+Ag0ekHm4H/aGhoSguLrZ7/sSJE0hISKiXRlHjZTRxpp+sbNL7tbyBJ9k5QqORzhMAB4PITH4N4XWEXCWvsi6lZrPjkJuM0hJVa/jEwSNSC7eD/uuuuw7PPfcc9Ho9APNo+4ULF/DPf/4TN910U703kBoX8dwYzACPYHv8eQNPgLVPaLWALObnuYIAWAd/dFqN1D8YvFFtHNUKYbchd4nnmiDZTD+37SO1cDvof+ONN1BaWorExERUVFRgxIgR6NChA5o0aYIXX3yxIdpIjYhROmHK10PxyhuobG/gmXJJ1uOv1WiglUX9vEEnQF69HzxnkMtsdorRcrs18oyykB/AfkTq4Xb1/piYGKxbtw5btmzBgQMHUFpaiquuugpjx45tiPZRI2MtgmJ7M69j4dOAZJQCPEgBHi+ggU2e3q/VyM8T7BdkPWfI+4eRXYNqYbIp5Kexe47IFUapLhWvTaQ+bgf9omHDhmHYsGH12RYKAFLQr7U9YerAqD8QifdcWo01VZdp3IFN6hNa6z7s5ufZL0hWvV+2pp/ZYlQbR9X7eakhdzmc6Wd6P6mES0H/22+/7fIbPvroox43hho/k3TDxtQoss60aDXWAI/9IbDZVu+XP++jBpFfsab3W/sHBwqpNtZdH7gshDzH9H5SM5eC/jfffNPmcW5uLsrLyxEbGwsAKCwsREREBBITExn0U41MjlKjOEoasOQBnpbFHQmyQn6K9H72CwJk6f1aFv8k14n3GTqNBuKcA4M1cpeje1hu2Udq4VIhv7Nnz0p/XnzxRfTp0wdHjx7FlStXcOXKFRw9ehRXXXUVnn/++YZuL6mcVMiPM/0E26JcOino92WLyNesW7KBW/aRHcHBmn6uzabaSPVjtPKsMl+2iNTIdlDa/BzvYUkt3K7e/8wzz+Cdd95B586dpec6d+6MN998E08//XS9No4aH/HcGMQiKAT5cg+NVOfByNSPgGayCeqsz3OmnwDroKBGwx0/yHXWpWTmvgPwnELusw5KW88/PP2QWrgd9F++fBkGg8HueaPRiOzs7HppFDVe1pl+bsVFiu3ZWImbIJtJ0Wps1m3zPEGA8qbb8hzvuqkW8sFEHXeKIQ+ZHGQacfCI1MLtoH/MmDF48MEHsWfPHum53bt346GHHuK2fVQr65Z91q7HtN3AZQ36ZetzeQENaPKBIPnfvEEnwDa931q935ctIjWQDyaKg0XsN+Qum37E2hCkMm4H/cuWLUNycjL69++P0NBQhIaGYsCAAUhKSsKHH37YEG2kRsTxln2+ag35mpjJr5XdwHPUPLCJ6dtif+C6SZKTV2Fnmja5yqZoLPsNeUi+JNFaU8SHDSJyg0vV++USEhKwcuVKnDhxAseOHQMAdOnSBZ06dar3xlHjIz9hinjhDVzyWV2xTxjYHwKaPPvD/LcGgMDBQQJgm97PNG1yldGmej/7DXlGXsiP2wyT2rgd9Is6derEQJ/cZnPC1GpgNAlM7w9g8tkXXkAJsC7vsM70c9kHWQk2M23mf7NvUG2Y3k/1QT7oqGFNEVIZt4P+++67r8avL1u2zOPGUOMnyGbxtBrACKb3BzLHW/axQwQyo2JNP2dzSc56zpBX7/dli0gNTDb3HmLRWHYcco+jgpCcuCK1cDvoLygosHms1+tx6NAhFBYWYvTo0fXWMGqcxJszsTK3OW2XJ8xAJV/uwaCfANuZFADW2RT2C4I1UNMxeCM3OKq6znsPcpc1YwQcdCTVcTvo//777+2eM5lMeOihh9C+fft6aRQ1XvL0fhboIpst+xj0E2yXfMj/ZrcgQFa9X8uZNnKds/R+QRCkgpBEtZFfn1hIlNTG7er9Dt9Eq8WcOXPw5ptv1sfb1WjJkiVo06YNwsLCMHDgQOzcudPpaz/44AMMHz4ccXFxiIuLw9ixY+1ef88991j2grb+mThxYkN/jIDlcLSdlU8DlslkTbkUd3TgrF1gEwtuiTdU4nmCgR0Btv1DyywQcpHJwWCR+XlftYjUSMpE02ig45Z9pDL1EvQDwOnTp2EwGOrr7Rz68ssvMWfOHMyfPx979uxB7969MWHCBOTk5Dh8fXp6Om6//XZs3LgR27ZtQ8uWLTF+/HhkZGTYvG7ixIm4fPmy9OeLL75o0M8RyGz2ZWeKXcCTr9/mNkoEyG+qzI+lwI7nCYI8vV9ehd2XLSI1kFfvl8/s8/6D3GGbMcKJK1IXt9P758yZY/NYEARcvnwZv/76K+6+++56a5gjixYtwqxZs3DvvfcCAJYuXYpff/0Vy5Ytw5NPPmn3+s8++8zm8Ycffohvv/0WGzZswIwZM6TnQ0NDkZyc3KBtJzPbNf3ic7zoBip5JW6u6SfAPr2fN1YkJ0/v584O5CpH6f3i88E6HzWKVEeqQ8TaEKRCbgf9e/futXms1WqRkJCAN954o9bK/nVRXV2N3bt3Y+7cuTb/99ixY7Ft2zaX3qO8vBx6vR5Nmza1eT49PR2JiYmIi4vD6NGj8cILL6BZs2ZO36eqqgpVVVXS4+LiYgDmooZ6vd6dj+VVYtt82UajZbjdZDRKJ8xqvcGvf27e5g/HyVuq9dbsIMFkBAAYTSa//+yBdIy8TW/pExqYf77i4GC1B+dXHid1cOc4SecMQYDJaP63SRB4jBuY2n+X9AZzuzWw9hsAqK7WQ4fGM6Ko9uPk74yW0WeTySBdm6p4bWq01HKcXG2f20H/xo0b3W5MfcjLy4PRaERSUpLN80lJSTh27JhL7/HPf/4TqampGDt2rPTcxIkTceONN6Jt27Y4ffo0/vWvf2HSpEnYtm0bdDrHw78LFy7EggUL7J5fu3YtIiIi3PhUvrFu3Tqf/d8lZToAGuzcsQ16vfnfmzZtwnH//7F5nS+Pk7ccLdAA0KG0pBh7dv8JQIcrBUVYuXKlr5vmkkA4Rt62O8/cJwqu5GPlypWorjSfJ37fsgXnozx7Tx4ndXDlOB3KNPePrKxMbEq/BCAI1QaDas4ZaqfW36VjheZ+U1ZairVr1kK8/V29Zg1CG+FMv1qPk7/TGyz3renpqCw3/3vr1q243MSz9+NxUgd/P07l5eUuvc7toH/06NH47rvvEBsba/N8cXExpk6dit9++83dt/SKl19+GStWrEB6ejrCwsKk56dNmyb9u2fPnujVqxfat2+P9PR0jBkzxuF7zZ0712aZQ3FxsVQvIDo6uuE+RB3p9XqsW7cO48aNQ3BwsE/a8Nqx34HKCgwZMgT/PbsPZYZqDB02HJ2TPTxjNkL+cJy8JeJELnBsL+JiYzBoYEcsPbobUU2aIC1tiK+bVqNAOkbept+XCZw8hMSEBKSl9cNrRzejoLoSgwYPQZ+Wse69F4+TKrhznC7/cQ44fwItmzfH2DEd8dzezdBodUhLm+CdxgYotf8uRZ3MA47uQWxMNCZNGojHd64HAIwdNw5NwtT3eZxR+3Hyd3/fsQ4QBIwdMxqfnv8TeVXlGDhoMPq3jnPrfXic1EEtx0nMOK+N20F/eno6qqur7Z6vrKzE77//7u7buSw+Ph46nQ7Z2dk2z2dnZ9e6Hv/111/Hyy+/jPXr16NXr141vrZdu3aIj4/HqVOnnAb9oaGhCA0NtXs+ODjYrzuFyJftFJc+hQQHW9fs6oJU8XPzNrX0p7rQaMxTLFqtFiHB5tORSYBqPncgHCOv05r7RJBOi+DgYOgsJZLrcp7gcVIHl46TxtwfdDodQiyvNZkEHl8vUevvkkZr7jdBOi3CQqzt1+nU+Xlqo9bj5O8MlkX9YSEhUiFRjVbHa1Mj5+/HydW2uRz0HzhwQPr3kSNHkJWVJT02Go1YvXo1mjdv7kYT3RMSEoJ+/fphw4YNmDp1KgDAZDJhw4YNmD17ttPve/XVV/Hiiy9izZo16N+/f63/z6VLl5Cfn4+UlJT6ajrJCI627GMRlIBl3cIRCLLclLGQX2ATi7IpC/lxyz4CZLs7aAEtt8wiF4nV++U7xQDcFYRcJy8YKi8+zPMPqYXLQX+fPn2kfexHjx5t9/Xw8HC888479do4pTlz5uDuu+9G//79MWDAACxevBhlZWVSNf8ZM2agefPmWLhwIQDglVdewbx58/D555+jTZs20kBFVFQUoqKiUFpaigULFuCmm25CcnIyTp8+jSeeeAIdOnTAhAlMFWwI4gVWo7FuxcXzZeAyybbsE/e85U1YYDPKtvUEIBVL4mAQAU6q9wvm5+VbsRHJGWWDiVpZ+X4GbOQq+b2JzcRV46kDSY2cy0H/2bNnIQgC2rVrh507dyIhIUH6WkhICBITE50Wvqsvt912G3JzczFv3jxkZWWhT58+WL16tVTc78KFC9CKQ/8A3nvvPVRXV+Pmm2+2eZ/58+fj2WefhU6nw4EDB/DJJ5+gsLAQqampGD9+PJ5//nmH6ftUd9J2J1rrXrm86AYu+RaO4gWUwV1gk7bWsvQHndgveJ4gWGdsNRqN1DcA8+AxY35yRp5lCJgHFU0C7z/IdfJ7E60WzFYl1XE56G/dujUAc0q9L82ePdtpOn96errN43PnztX4XuHh4VizZk09tYxcYZLd0Gs5sxvwrAGeNb2fe24HNpNsJlf+NweDCLBeL3QO0rS1YNRPjsmzDAHzPYhJEDhLSy6TB/fmjBH754n8mUtB/08//YRJkyYhODgYP/30U42vve666+qlYdQ4WW/orSPuDPIClzzAEy+gBvaHgCYNDDLoJwcEB+cMgDfeVDOjslaIZaqf/YZcZTPTz7pUpEIuBf1Tp05FVlYWEhMTpSJ6jmg0GhiNxvpqGzVC4klTo7Guq+PNfOCyXdPPCygBRnEJkMY26Ge/IEB+DYHNTD9nbKkmygwicVk/7z/IVfJzjE1NEZ57SCVcCvrlKf2+Tu8ndRNkN/Rcq0sm2frcIA4CEZxX7zfy0kNwnt7PQSGqibx6v/xvdhtylX0hP/vnifyZtvaXENUfo6OZXd7MByz5ln3iTRjT+wOb/BwBQDYYxBMFyQaOFen9vPGmmigHE3VMzSY32Rbys97DcjtZUguXZvrffvttl9/w0Ucf9bgx1PiZBPvUTN6sBS6H6f0M+gOavLgjANkyIF+1iPyJzRIxefV+9g+qgUkxmKjhLC25SblERMMsNFIZl4L+N99806U302g0DPqpRvIt+xjkkXzLPqlgG2/CApqzGTn2CwLkBdlgs2Uf+wfVxJpBZH7MWVpyl3Tu0TBbhNTJpaD/7NmzDd0OChC2W/ZxDXegk8/qsko7AbKbc0X1fg4OEmC737os5ueNN9XIWa0QnlbIVdL9imVZEbfsI7Wp05p+QRA4SkpukVLstOZ13ABnaAKZfPstaUaXd2EBzaSYTRGDf9Z6IEC+37rGkuJvfp6DQlQTa8CmTM1mvyHXmATFtYkz/aQyHgX9H330EXr06IGwsDCEhYWhR48e+PDDD+u7bdTICIJgTefmGm6C4y0cTQJTLgOZfAkQYC3kx/MEAdb1s5yxJXfYbwVqfsyAjVylHDjiln2kNi6l98vNmzcPixYtwiOPPILBgwcDALZt24a//e1vuHDhAp577rl6byQ1DvJrq3y7Jc70By6T7EZMDO4A88U1SKdx8l3UmCmr9/M8QXKCopiWVqsBTAL7B9XIaXo/AzZykbKQH7fsI7VxO+h/77338MEHH+D222+XnrvuuuvQq1cvPPLIIwz6ySn5iVE+08/0usBlkhVX0sqDfkFw/+REjYJJVqhN/jfPEwTIs4PMj5neT65QVu9naja5S8oykrJFWAyS1MXt9H69Xo/+/fvbPd+vXz8YDIZ6aRQ1TvKLq1YrK9DFE2bAstmyT1aVi7MvgUuZQsnBQZIzKtbVsoI2uUJZvZ9F2MhdzutC+KxJRG5xO+i/66678N5779k9//777+POO++sl0ZR4yS/tmrl6f08YQYsgyzlUieb6Tcw6g9YTtP7GfQTrNcRrukndziv3s+OQ66xL+Rn+zyRv/Mog/ajjz7C2rVrMWjQIADAjh07cOHCBcyYMQNz5syRXrdo0aL6aSU1CvKbdhbyI8D2Rkwe9DPmD1zK6v1BzAgiGXnxTwDc+pVcIk4uSBlEHCwiNxkVA0dM7ye1cTvoP3ToEK666ioAwOnTpwEA8fHxiI+Px6FDh6TXaWSpukSAfXo/C3SR/EZMnt7PPhG4pJl+LYM6smdN7zc/FscKeeNNNVEuCxEvN5x0IFcZFEE/t30ktXE76N+4cWNDtIMCgHz21jzTb/43T5iBS7wRC9Kat+zTaMzpu+wTgcuuWJLlbwP7BMG+er+1NozPmkQq4Cy9nwPM5Cpl9X5mi5DauL2mn8hT8pl+nTy9nxfdgGW0jARpFQEeg/7AZQ3qYPmby4DISpnez9k2coWyer81NdtnTSKVkQr5KXcOYScilXB7pr+yshLvvPMONm7ciJycHJgUi2/37NlTb42jxkU+oq7RsEAXyWZ1uec2WTit3s8+QbA/Z7B6P7lCWb2fg0XkLrtsEU5ckcq4HfTPnDkTa9euxc0334wBAwZw7T65TL4nu0Y208+LbuBSpssFaTWoBmd1A5ndlmyc6ScZgRW0yQP26f2W59lvyEXOdpbhpYnUwu2g/5dffsHKlSsxdOjQhmgPNWJiUogylZsX3cBlVw2X67cDnsnk+MaKfYIA6423ON+g5Zp+coFd9X6m95OblPcr4sARJ65ILdxe09+8eXM0adKkIdpCjZzJaVVunzWJfEy6iHL7LbIwWg490/vJEfsbb54zqHbKPdaZ3k/usivkxy37SGXcDvrfeOMN/POf/8T58+cboj3UiJkUa+o400/K9dvck52kNFzxPMH0fpIRTw288SZ32NUKYXo/ucmoyFa1Dhz5qkVE7nE7vb9///6orKxEu3btEBERgeDgYJuvX7lypd4aR42LMr2fs7qkXL8t9gmDkX0iUNkt+WBGEMnYV++3fZ7IEeVMP9djk7ucLUfkwBGphdtB/+23346MjAy89NJLSEpKYiE/cpnyoituycWbtcAlzt4G6XgRJTOjoJyRY58gK7tCjwzeyAXKTEMtzyvkJvuBI9vnifyd20H/1q1bsW3bNvTu3bsh2kONmLIAE2/myaAo2sYdHciuOruY/WHiVD/J+odl0JjBG7lCmd6vtfQf9htylbUPwfI3zz2kLm6v6e/SpQsqKioaoi3UyAmKIihM7yfrNkqw/M1K7YHOfu0t0/vJSpnezxtvcoV4/mABSPKUspAfl4iQ2rgd9L/88sv4+9//jvT0dOTn56O4uNjmD5EzyiIo0s08b9YClnLfWx1v4AOeWM5BuQyIhfwIsO8f3DaLXOFsTT8vNeQqoyIzUUrv57mHVMLt9P6JEycCAMaMGWPzvCAI0Gg0MBqN9dMyanSUW/axKjeJF9EgLW/gycykSKHUWf7BwUEC7DPGuN86ucI+vZ8DzOQeu+1C2YdIZdwO+jdu3NgQ7aAAYB0lNT/Wsip3wFNeRIPEAI9Bf8BSzqaw4CfJWdP7YfmbadpUO+tMv/kxB5jJXc6yRXgPS2rhdtA/YsQIp187dOhQnRpDjZugTNtlAaaA52z2hTdigcvoZN0k+wQBjrbNMj/P6wjVxC7TkOn95CZpiSp3liGVcntNv1JJSQnef/99DBgwwCsV/ZcsWYI2bdogLCwMAwcOxM6dO2t8/ddff40uXbogLCwMPXv2xMqVK22+LggC5s2bh5SUFISHh2Ps2LE4efJkQ36EgGWSqvczwCMzp9s48iIasKTijsodHdgnCPaDx6zeT65QZhBp2G/ITcrtQrllH6mNx0H/5s2bcffddyMlJQWvv/46Ro8eje3bt9dn2+x8+eWXmDNnDubPn489e/agd+/emDBhAnJychy+fuvWrbj99tsxc+ZM7N27F1OnTsXUqVNtMhJeffVVvP3221i6dCl27NiByMhITJgwAZWVlQ36WQKRdf9t82MW8iO7WTsxvd/IPhGojIoZuSDLSJCBOZQE+davynW1PmsSqYB99X7L87z/IBeZFPcrHDgitXErvT8rKwvLly/HRx99hOLiYtx6662oqqrCDz/8gG7dujVUGyWLFi3CrFmzcO+99wIAli5dil9//RXLli3Dk08+aff6t956CxMnTsTjjz8OAHj++eexbt06/Pvf/8bSpUshCAIWL16Mp59+Gtdffz0A4NNPP0VSUhJ++OEHTJs2zWE7qqqqUFVVJT0Wdy3Q6/XQ6/X1+pnrk9g2X7VRrzcAALTQmNsgmK/CBoPRr39u3ubr4+RNevFOTDBBr9dDC/PFs1pv8OvPH0jHyNuMlj4hmMznBZ2lT1Tq3T9P8DipgzvHSdk/NCo5Z6id2n+XDJYi04LJZNNv9I3s/kPtx8mfVVnuYQHB9h7WaOK1qZFSy3FytX0uB/1TpkzB5s2bMXnyZCxevBgTJ06ETqfD0qVLPW6kO6qrq7F7927MnTtXek6r1WLs2LHYtm2bw+/Ztm0b5syZY/PchAkT8MMPPwAAzp49i6ysLIwdO1b6ekxMDAYOHIht27Y5DfoXLlyIBQsW2D2/du1aREREuPvRvG7dunU++X9PFwNAECrKy7By5UqczNAA0OH8hYtYufK8T9rkz3x1nLwpJ1cLQIsD+/cjJHMfigp1ADTYtXs39Of8f/Q8EI6RtxVY+sCe3btRdUbA0VzzeeJydo7d8ixX8TipgyvHqaTM3D927tiG3CNAwRXzOWTP3r3QXPT/c4baqfV3KTvH3E8OHzyAyOz9yM42Pz548BBW5h30dfPqnVqPkz87nGm+FmVfzsTKlZdw6pLlHvb8Baxcec6j9+RxUgd/P07l5eUuvc7loH/VqlV49NFH8dBDD6Fjx44eN8xTeXl5MBqNSEpKsnk+KSkJx44dc/g9WVlZDl+flZUlfV18ztlrHJk7d67NYEJxcTFatmyJ8ePHIzo62vUP5WV6vR7r1q3DuHHjEBwc7PX/f8fZK8DhP9GkSRTS0oYiY8tZ/HLhJFKbN0daWk+vt8df+fo4edPnWbuAogL0u6ov0nom4/OsXThTUoA+fcyP/VUgHSNvW3p2G1BWgkEDrsbwjvHQHMrCf08dQHRsU6SlDXDrvXic1MGd4/Tasd+BygoMGTIEfVvG4quc3ThRlI9evXojrU+ql1oceNT+u/R17m6gMB99+5j7ydrSA9iXn4Wu3bohbXBrXzev3qj9OPmzS7+fBc6fRMuWLZCW1gMXN5/FrxdPIrWF+bE7eJzUQS3HScw4r43LQf+WLVvw0UcfoV+/fujatSvuuusupzPhjV1oaChCQ0Ptng8ODvbrTiHyVTu1Wh0A83qo4OBghASZu58JGlX83LxNLf2pLgTBvCYuNDgIwcHB0vptaLWq+OyBcIy8TZyrDbb0iYjQEACA3ih4/LPmcVIHV46TuHw21PJa8Zyh0ep4jL1Arb9LyvNKY+83aj1Ofk1j7jPBOvP9SUiw+Z5WEDy/h+VxUgd/P06uts3lQn6DBg3CBx98gMuXL+PBBx/EihUrkJqaCpPJhHXr1qGkpMTjxroiPj4eOp0O2dnZNs9nZ2cjOdnxjGBycnKNrxf/duc9yXPWrbisJ04AMLBoW8AymMxr4rTcno0sjIrq/SFB5vNElYGF/Ei24wcLspEblNX7pV0feK0hFykL+WlZjJpUxu3q/ZGRkbjvvvuwZcsWHDx4EH//+9/x8ssvIzExEdddd11DtBEAEBISgn79+mHDhg3ScyaTCRs2bMDgwYMdfs/gwYNtXg+Y12WIr2/bti2Sk5NtXlNcXIwdO3Y4fU/ynEE6YZofB1k2WNazKnfAEsd7xAAviNs4Bjxl9X4x6K/meYJgPTdYThnSDbjAG2+qgcmuej8rr5N7pGuTcjtZ3q+QSni8ZR8AdO7cGa+++iouXbqEL774or7a5NScOXPwwQcf4JNPPsHRo0fx0EMPoaysTKrmP2PGDJtCf3/961+xevVqvPHGGzh27BieffZZ/Pnnn5g9ezYA83Ybjz32GF544QX89NNPOHjwIGbMmIHU1FRMnTq1wT9PoFHuvy0GeAaeMAOWcuScF1FS9gkp6OdMP8F+pl8jZQf5rEmkAsqAzbrHuq9aRGqjvDYFaTlwROri1pZ9zuh0OkydOrXBA+XbbrsNubm5mDdvHrKystCnTx+sXr1aKsR34cIFaLXWcYwhQ4bg888/x9NPP41//etf6NixI3744Qf06GEtuPHEE0+grKwMDzzwAAoLCzFs2DCsXr0aYWFhDfpZApFyT/Ygy7Fi0B+4DEyXIwXlzXmIjkE/WZkU2UE6ztiSC5T3H5zpJ3fZDRyJE1dcokoqUS9BvzfNnj1bmqlXSk9Pt3vulltuwS233OL0/TQaDZ577jk899xz9dVEcsIu6NeJJ0zezAcqZzP9XGcZuJRpuKFM7ycZa3q/eONtfp7BG9VEkDJEzI+1vNaQm4yKaxMHHElt6pTeT+QO5SgpC/mRszVyzP4IXFL6tobp/WTPaTEtnjOoBuK1RqNI72dWGblKubSIyxFJbRj0k9fYp/dbCvmZeDMfqJytkeNFNHApC7Ux6Cc55aAQzxnkCmmWVjHAzG5DrlLuAMFJClIbBv3kNcqgnzP9pFzTz+3ZSDmbIq7pN5gEpuKSbMbW/Fjcb13P6wjVwFmGCHd9IFdZ72Fh+Zvp/aQuDPrJa5yt6eeWfYFL2SdCg3QAOKsbyJR9QhwIAriun+xrPgSzNgy5QLmUTBw0YoYIuUqZZcSlRaQ2DPrJa+zTMlm9P9Ap+0QoZ/oDnjKFUh70s1+QMhNEvI7oeR2hGtgVjeVOMeQm6drE5YikUgz6yWuUqdycoSHrRdT82Jreb/RVk8jHpC3ZZOn94qwc+wXZp/fzOkK1MwpOUrMZsJGL7Gb6GfSTyjDoJ69xtj2bP6/F/O/285j16Z+o1DPYaAjixVKcrRPT+zmjG7ik9H4pDVeDJqHm3WWLK/Q+axf5niAIECdmlYX8mDFGNTEpqvdLg0XsN+Qi5Uy/NVvEZ00icguDfvIa5QlTLOTnz6Okz/xwCOuOZGPFzgu+bkqjpJx9CQ22zPTrGfSrRUW1EWVVhnp7P2ntrezqFBcZAgAoKGfQH8jklwprbRgWhKXameyq9/v//Qf5F6OinohOx2wRUhcG/eQ1BmlWVznS7p8BnjyV+MKVCh+2pPFSrt8W1/SzYJs6VBtMmLrkDwx75TeU1lPgLyjWbANAbIQl6C+rrpf/g9RJHqCJM7bBWv++jpB/cLplMAeLyEXK9H7xb2aLkFow6CevcVbIz18vuhkF1kB/25l8vLbmGI5eLvZhixof5ZIPaU0/l1OowqpDl3E8uwQF5Xqczimtl/dUDgQBQFxEMACg0E9n+iv1Rnz4+xmczSvzdVMaNfnWWMqZfn+9jpB/UFbvFycdjBwsIhfZpfezLgSpDIN+8hpx8larkkJ+5/PLpX8fvVyMJRtP45/fHvBhixofZXFHf17TX6k3Yu53B3HXRzvw8dbz2JmjweINpwJ6n+ffT+ZJ/84urqzz+wmCIKVw2wb9Ynq/f870v7vxFF749Siu+/cWXzelUbMJ+pVrs/30OkL+QTnAzFoQ5C6jIltV7EvcAYLUIsjXDaDAIY6oW2/W/HurpaNZ9rP6By4V+aAljZdy+61QP67ev+rQZXxhqe1gDnZ1wOkzGNAuHiM6Jfi2cT5yJNP6O1IfQb+jNdsAEBNunukvrvTPmf7fT5kHP0oqDbj2nd9xpbQaz1zbDZN6pvi4ZY2LbXq/+e9gbv1KLrCv3s9aEI2dcklHfb2fcqafdSFILTjTT14jFUHRKdZi+uEMzbe7L+HV1ccdfq0+i5YFOmWldmlNvx/O9OeVOJ5lvnvZTmw8luPl1vgH+cx7dnFVnd9PfvOkk830hwWbM0Aqqv2vXwDmbQVFhzKKkVlUia93X/JhixoneSa2TlEbRu+H1xHyH+JMv0ax6wMDtsapymDE5Ld/x5g30lFST4PFRuWWfRr2IVIXBv3kNcoTpjjTbxL8a02UIAj4+9f7pcdLp1+FNY9dg3BL4HGpgEX96oM8ldtuTb8fBv25pc6D2jfXn/BiS/yHPOjPqpeZfut5QF69P8yyq0OlH2aAANbAUy6zkOeJ+uY4vZ8ztlQ76Vpjt2Wf/11rqO5WHryMY1klOJdfju/2ZNTLe1qXiMDyN4N+UhcG/eQ1Unq/IjUKAPR+dOHNKbEN7oZ1TEDn5CZo2TQcAJBbUvcZTbWq1Bvx5roT2HuhoM7vZTOr6+dr+i9eKcf7m88AANJ6JmN05wT8pYsRPVKjAZiXfVwJsMrylXojKmVbK9ZHer+jPgFAGnCr9LMCjzkllbhv+S78cSrf7muXi+r+8yBb8rWzYiJIEKv3kwucVe/nYFHjdDrHWlT1wpXyGl7pOrtikAz6SWUY9JPXKPc4DZbNjvnThfd4Von076XT+yEq1Fz6ollkKAAgvyxwg/4Xfz2KtzacxKxPd9f5vYw2s7rmviDO6FZU+1dw9+xPh6V/X9c7Ff+Z3hdd4wR8/9AgdEyMAgDsv1joo9b5hrKoXr0E/fI+4SC939+C/hkf7cRvsqUdX8wahLsHtwYAFFXouRSonpmknR3s07RZvZ9qIgVs0qQDa0E0ZvLrUX0VgJUK+ekU6f0s5EcqwaCfvMa+aJtO+po/3czvswRv1/ZKwcQeydLzzaLMFcTzSgNrRldu88lcAEBeaVWdZ7Zt1udaLp7iAEt5tf8ES4IgYIMssBvZOdHm6+0SIgHU32yCWhSU2a6TPJFdipdWHq3TewqyPiEP+q0z/f4zm1tcqccx2QBhs8gQDG7fDAuu74Emln58uYgp/vVJuRwIAIItubacbaOamBT1Y4J1nKVtzOTLzeprq1drtojW8je37CN1YdBPNTqUUYTfjmXXy7Zk4my+eDOv02qkIK+40n+CvK2nzZW4B7VrZvN8fJRlpr+Gtd2NnTwQO59ftz3JjQ723I4KM/eH0iqD32yFVyC7Ydj65Ghp1lnUMi4CgHkJQCAptMyeiMteAOD9zWfqVIRRnqIdJAvsQv0wA2T3OesSl8Qmodj4+EjpcWqs+WeSWcgU//oknjM0svMQC/mRK6wz/ebHOi4LadRyZIVl62um38At+0jlGPSTU1fKqnHDu3/gvuV/4rMdF+r8fuJMv/xmPtoS5BVX+MdWXJV6I/acLwQADGlvG/QnNDEH/SeyS5TfFjAKZRfPuo6eG40Ogn7LIJDeKPjNuv5zlsGN1JgwKZiTa9nUHPSfzavbIIjaFFp+Z5Ojw/DGLb2l5w9mFHr8ngZZ+rZW6yC9348K+Ynnget6p2LnU2MRHRYsfS0lNgwAZ/rrm3K2FgCCmKZNtRAEAWJcplyP7U9LC12VVVSJRWuPY+fZK75uit/KlJ1763+mXxH0q7APUWBi0E9OZRRUSOsk62P7KeUepwAQbdl/u8hPgv4/zxWg2mhCcnQY2sZH2nxtTNdEaDTA+qM5eH/zaR+10HdMJsHmONV19NzooBJ3ZEiQ9Fypn6yHFjMaWjeLdPj1Xi1iAAC7zl0JqFRR8fjHRoTgpn4tMKpzAgDg6GXPB8XE2dogne2lyR/T+8VBHuV5ArBmf2w/w5vy+mQSrINCIjFN2x+3fnVm1cHLmP/jIb/cmrQxkp+Wper9KhssEgQBL608iruX7cSo19Px9m+nMOvTP/0mI86flFTqUSLLHs0rqaqfbFXlTD/X9JPKMOgnp+RBXV49VKw3OJilEYP+4nraR7UuTCYB932yC4B5ll+eQgoAXZKjMb5bEgBg8fqTAXfDVlypt7l5KqjrTL/szcSBIK1syUepnyz5OJdnTttvEx/h8Os9m8cgPFiH4kpDnZc8qIk4exIXYf4d7pTcBIBtIUx3GU322UCA/xXyM5oEHMwoAmCt6SB3c78WAIDv92bgA8uuD1R3jgaOxQEitRTyyy+twkOf7cEn286j09OrAq4AqC84utboVLamf8+FQry/+Qw2nchFheU8WFShr3Er2UAl7pwSFqyFTqtBSZUB2cV1/zkpd6ASl4qopQ8RMegnpwpls7qF9bAmSrnHKQDE+NFM/9n8MimQn9QzxeFr3ri1DwCgvNpYpzRmNVIG+XXtE46WewDWFH+1zPQH6bRoZUnxH/3GJptK/41VtcGE19YcBwBEWLIzuqWYty/8cV8Gei9Yi+d/OeL2+4qBm7JP+NOWfUaTgMlv/47DmcUAHM/0924Zi94tYwEAK3bVfWkUmSmLwQJAsErWZp/MLkG3eatx3b//sHn+kS/2+qhFgcPkoH6MddcH/+43ou1n7LcFBYBH2X/sZBaaU/vbNIuUzs9Hs4rr/L4G6fqktfmbQT+pBYN+ckoe1JVVG+s8s22Ubtis3c6fgv4TlhnKpOhQjLPM6CtFhQbhmk7mNGb5PrCBQJnOX9f0foODWTvAWsyvxF9m+vMtM/3NHM/0A7bF7JZvPdfoUy73yWYnxfTqwZbCl8WVBhRV6PHRlrNuv68YuAUr0vulrRz9IOjPKq60qdrfxkHQDwDv3XkVAHP/8YfBisZAvLfWatQ30//2b6dQXm1ERqFtnYcLV8pVtTRBjeRBmU6jWI+tkoDtpJNaQjvOXgm4IrK1EQuopsaGo2dz8/K7+T8eRlE9ZSfazfQ38us9NR4M+skp5ZZcdZ3ZNTqY6Rdndf1hP+vjlovqNR0Tanxdc0uRLuXNW2OnPP65dVzy4agoF6C+mX4AaNXU9muNfVvHP89b16rfM7QtACAxOszude6eM6SZFJ1tn4gQt3Ks8n3wnKn4vZcX8JNLiQlDTHgwjCYh4Io8NhQpvV92zogIMWeB+Mv5whm9YtC8nWywyJMBMnKdPCgTAzW1bPVoNAl4Y+1x/LAvEwAwoE1T9G4Zi//OHICr28RBEIAtp/J83Er/IhZQTY0Nw2BLQeYLV8rx8uq6bSkrLT/T2a7pFwRu20fqwKCfnNpx1jad7Kf9mXV6P0c3bP60flusxt3ZsjbZmdQY86xuoFXmVg4CZdVxjZxy1FzURNq2z/fZH0XlemlZg5jC78j1fVJtHp/JLW3QdvmauB3Sw6Pao7mDHQ1EJ7Ld+zlYCyXZXpqiLEsIqo0mVPm4gr886P/vzAFOX6fRaNAizvyzke8ZTZ5zNHAsZov5yw4wzpyT1fuY0jsVv/1jpFQj5ts9dS+US84JsvEWrWKmX+/ny0J+O5aDd347JT1+5tpu+PHhoRjeMQFD2scDALaedpz6H4gEQZB+Xikx4ZjUI1n62hc7L9YpC8+guGeRX6c4209qwKCfHNIbTdimWEP2wq9HMf3DHR6PjBsdrOGOlGZ1fXsjLwiCtEa3U1LNQX9KrBj0B9aNvJjO39qS5r7/YiFGvZ7ucfE6o4P1uYB8pt/3feL3U7kAzNs1in3Vkd4tY/H5/QMRGmQ+peaXNc6Z/itl1RAEAXmW4lHNIkNtvv705K42j4+7uY7SIFXvt+0TkaE66d9lPu4X4u/9DX2bY3gtWUFJluyH7AA7VzQU5bZrABBjKSRZZTD57TIKvdGEM7nm8+RjYzti4Y09AQDPXtcdAHAmtyzgCsN6k6OdYoJUst3aH7JZ/JjwYLSVFQ4VtxXedjqv0S8pc9XpXOv9SM/mMWgSFowfHh4qPVeXDEVloVn5dUqNWz9S4GHQTw6Zb+7NAZn8hLnlVB7+usKzwjHixVUe5EVZbuZ9nd6//cwVnM8vR2iQVtqCzZnUmMBM7991zpzS3Vk2KHI2rwx/+3KfR+/nbKY/0k+yPz7feQGzPzf39bY1pPaLhnSIx0jLtnX5jbCi8oaj2bjq+XV4bc1x5FuWLzSLCrF5zb1D22Ld367BgyPaAbAumXGVs0J+QTqttK7f1+cKcaY/JcZ+OYNSUrR5UKQ+KkeTNXizyRYLCYL40B92gXHkfH4Zqo0mRITo8OjojtLAZkpMGJqEBsHAJSANylH1frVs2XfMMnD69OSuWPu3a6S+A0AqFppXWu0XdZH8QbYsq2p4R3MmRJ+WsdJymt+O5eDgpSKP3tugqN4vDvID/lFklqg2DPrJIXE0tGlkCHq3iMFUWfrypuO5HhUesqZGWbudWLStrNq3N/Lpx3MAmNMuYyNCanxtqjjTX1gZMKPrOcWVWHM4GwDQNSUaybL123suFNpcaF3laLkHIJ/p9+1NzK8HLkv/7t8mzqXvaRZlDvIa45r+/2wybz33bvppHLhUCMB+pl+n1aBjUhN0sSyR+d/2C26ttRb7hLKQH+A/tR7EIlEpNSxrEIkz/ZcKArfQlsFowmc7zuN0PSx5cTRQqNVqpLoK/prin1Vkvp62iAu3KVyq0WjQypI5pawVQfXH0a4PQSrZsu/iFXO/6NMyVjqfiMKCddKWqVxCZJZlyaoa1iHeZttlMYPzye8OYsq/t3j0+2ZULD8L0mmlQraVPl52RuQKBv3kkJi+Gx8VCo1Gg8XT+uL0S2loEhqEkioDTnlwAyeOkspToiJD/KNS+5/nCwAAQzs0q/W1yZYZvgq9MWBG13+WBcA392uBd+7oi9FdEqXnPLmhd7Q+F5Ct6fdhnzCaBOy29Ik+LWPx4DXtXfq++EjzgFF+WeOZ2T2ZXYI5X+7DznPW4n1l1eYbnIQmoQ6/R75E5rmfXd/CUK+YSZHzl6KfUpEoF2b6xcrRu2Q/u0CzcNUxPPX9ITz+9f46v5cgzfTbPh8dbu4bRRW+rw3jiHg+iI+y/30RB1AZtFldyC/HQ//bjUe/2Iuckrr/XIwOisbqVLBln95oks43LZ3UlJGWEDGbCACQbekvygGSa3vbbsN8zIMt/JRr+gHzwAsAVFQz6Cf/x6CfHBJn+uNl6bs6rQbNLYWpPFkXZZ3Fsy/k5+sb+fOWbdk6JNS8nh8wn+TFtN3jWe6lL6vVOUvq6f+NbI+WTSNwdZumWHbP1VL63KUrdR81F4l9osSHfeJcfhmqDCaEB+vw3UNDpHXDtUm2FHk8kVXaaNL9nvj2AL7bm2H3fGiQFu0THC97aJ8QJf37qz8vuZwRY63eb39pEpd9+DKFu9pgktKwayrsKBrQtil0Wg3O5ZcH3HIgAFh/JFuqTL/nQmGdM6Ok7CBF1B8bbr5OFfhhLY1KvRHn8szXl2YOgv5EKWhj0C/64PczWHUoCz/tz8QPDs497rL2G+tzQX6+ZZ8gCLjjg+0wCeZBrgQHfQdg3RAl8ecg3qOJ0nrYBv05HgySGB0sPxOD/kq9/w4eEYlUE/RfuXIFd955J6KjoxEbG4uZM2eitNT57OKVK1fwyCOPoHPnzggPD0erVq3w6KOPoqjIdi2PRqOx+7NixYqG/jh+T0xPVs7kiWt48z1IXxZH1OXp/ZF+EPRXVBulzAb5fus1ubpNUwCwK3bYWF20pCcrZxvEx8eyStwOaqT1uYqzkLjkw1cp8tUGE9ZaljJ0SoqyCzBqMqCteRnAznNX0OWZ1dhzoaBB2uhNRy9bZ0Tkaxg7JEY5DM4B843Q2r9dIz0+4+J6ZaNlpj/Ywc9cPFfct/xPnwTQP+3PRKenV6G82oimkSE2AxvONAkLlmb7twVghe1lf9huRZdTx20+peKfiiVB4nUqz89qaZzJLcVVz6/Dm+tPAACaRdovHbPWfWDQJpJfV8UB+bpwVAAyNMgcrFUZTH65TG/XuQLsOme+fiRHhzm9DrWxLA85ctn9mevGSMx4UM70a7UafHqfdbeVC1fc71eOZ/rN18CKRjLIT42baoL+O++8E4cPH8a6devwyy+/YPPmzXjggQecvj4zMxOZmZl4/fXXcejQISxfvhyrV6/GzJkz7V778ccf4/Lly9KfqVOnNuAnUQfx5kk5uiyu4fXk5kqcxQt2WL3fd0G/uN62SWiQtP1TbQJtq5xLBZYUwzhF0G95vOyPsxj52ka3tqozOUi5BIAeqeYg6Y9TeXWqtOup19YcwyurjwEAujevuaijUvuEKOkmAADe3Xi6XtvmC+3ircGtTqvB4xM6o0VcOBbf1qfG7+uU1ASdkszfO/e7gy79X1IhP539DW6s7Hfz7fUnXXq/+vToF9YCpoPbNXN5MKh/a/NA0JvrTvhlcNFQCsqqpWVTorpmRjkK3gDrdcoX54uabDuTj3JZ2m98lH3Qn8z0bBtVBqPNdeSzHRfqniHiYLAowlJE2GASUOWHOyfM+/GQ9O8F1/dw+rpB7cxLEn87luNRraXGxll6PwBc0ykBD400L9W7WFCH7ETZ9SncMtNfxaCfVMD5HlR+5OjRo1i9ejV27dqF/v37AwDeeecdpKWl4fXXX0dqaqrd9/To0QPffvut9Lh9+/Z48cUXMX36dBgMBgQFWT96bGwskpOT7d7DmaqqKlRVWS/QxcXmEVa9Xg+93n/XeIttc6WN2ZZ1ZHERQTavj4sw/9xe+PUoruuVhLhait7Z/P+WC5JGMEnvGaYzn0RLqwyorq62KbziLUczCwEAbRMiYDC4NvgwoI05GNxzvgDnc4ul4n71wZ3j5C15YmHHcJ1Nu1KjrcdfbxTw495LmD3KtfXvVZb30WpsP2u35Eh0S2mCI5dLsPl4Nq5TrMVraB/8bp2dHNQm1uFxqOkYfXx3P9z+4S4AwLm8Ur86jp6QL1MY1zURDwxrjQeGtQZQex8d0CYOJ7JLkVtc6dLPoara/BqdRmP3+v6tY7H2iDkD41JBuUvvV5+/SzqtRrrpG9jWcb9wpF28+dyQUViBP07mYGDbpnVuixp8u/sCqg0mdEmKQutmEVhzJAdHMwsxuG2s3WtdPU7iOUOjOGc0jTRfl7KLK/zq9+18nu0g6OC2cXbta2Zp++VC/2q7kreuS+dyy6DMuN92KhdXu1hM1RHxvKLVWtsforH+J4VllQ6zMHxl4/FcHLMMkL1xc0+M7NjU6c99UNtYRIcF4cKVcmw5mYMBraIB+Nf9gzeJhfyaRegc/gy6JZsHoi/kl7n9MxLrUglGo/S9YvZbSWW1W+/nj/d5ZE8tx8nV9qki6N+2bRtiY2OlgB8Axo4dC61Wix07duCGG25w6X2KiooQHR1tE/ADwMMPP4z7778f7dq1w1/+8hfce++9NQafCxcuxIIFC+yeX7t2LSIial/n6Wvr1q2r9TXHz2sBaHHp1FGsLDoiPV9yWQPAPLL5zH9/Q1pL10eW8wt0ADTYu2c3qs6aL7iVRgAIgkkAfvxlFUJ0Nb1Dw1h50fxZw6sKsXLlSpe/r0O0FqeKtXjyv5swrX39j7C7cpy8wSQARRXmY7d722aclN0bnS8F5KeRfUdOYmXFcZfe90SRuS+Vl5XZ/dwTocURaPHDlv0IyvBsi0hPmG82rZ+n5PQerLzg/PXOjtE/ewOv7A/C5YJSt/pUXVUbgS9Oa9GjqYB+8fUzq5xVaD72PeNMGBJ6EStXXnT5e9tVA0AQLlwpwy+/rrQrwKa0J8fcJ67k59r93OIFoGO0FieLtTiekefWz7U+fpeaBOlQWK1BmygB4VkHsXKla9kLReWA2Ke+XL8D+c0DY7Y//Yz5vNoiqBia4iIAOixcfQILV5/AA12M6B5n/3Oo7TgdKTD3j9KSYpvjn2O5Lh08eR4rV551+v3etuuE+WeQEi5gZKoJlw78gUsHbF9zqQwAgnA0qwT/+HAVRqf6d/9o6OvSYcsxTo0QkFluPmF8tX47cuvwc7ls+R006PU2/SZEq0O1SYNf16xHfO11Ob3mE0u/aRYqABf3YmUt18BW4VocqtTil007UZRs/jn5y/2DN5kEILvYfL068udWZDo4RV+03LOcznLvfs8kACbBfB7f+NsGRFkSz8ot/9+2nX+i8rT7fTQQj5Ma+ftxKi93bbmKKoL+rKwsJCYm2jwXFBSEpk2bIisry6X3yMvLw/PPP2+3JOC5557D6NGjERERgbVr1+L//u//UFpaikcffdTpe82dOxdz5syRHhcXF6Nly5YYP348oqOj3fhk3qXX67Fu3TqMGzcOwcE1p7H/+/QfQHEZxg4bgKHtrRXtR1UbcXb5n9h7sQhZiENa2kCX//93z2wFykoxaOAADLNUyTeZBPxzp/mXadioMQ6rGze0d/+9FUApxl3dFWmDW7v8fc26XsH0ZX/iYFEIlk0Y6XR9s7vcOU7eUFiuh7B9IwDgxmsnIkS2rru0yoCPTm2WqmZXR8QjLa2/w/dRij6VDxzZjdjoJkhLG2LztaJdF5H+01HoohORlnZVPX2S2mUWVgDbfwcA9GoejVuvH+TwdbUdo/zSKryyfxPKDBqMnzCxXvpGWZUBeaXVeGXNCWw5lYd7h7TBT/szcefAVrjpqlTklVTji10XsSf/IvbkA0/fNQ65pdUIC9JCgDmNVT6bVVJpkIpqXimrRlJ0GB743x4IAvDA8Lb453eH8OTETijfZo5SPn5ojMvLX0QGowkv7t8AownoPnAEmseG2/QfpZI/LwGnjyA1OQlpaX3tvn7V0AqMfON3FFZrMWHieIdV/uXq63fJYDRhzo4NAAT876ERDlNHa/Jt5h84lVuGZs3bIi2ti8ftUJPvPt0DZOdhZP8eiAkPxuoV1ur9y08F4/D8sdJjV49T+PFc4NhexMXGIC3N+rupOZSFb88dQFBUU6SlDXD6/d720YXtAIrx9NQ+GN8tyeFr8suq8dqBdADAj+d1eOW+cbX2a1/w1nUpZ9t54Nhx9GqbjJsSI/HOxjPQNm2JtDTnKe61OZZVAuzfhvCwUKSljZSef+FgOnJLq9F/8DB0S/Gfezex3zx3o/N+I7cHx3Bo2wXEpLbDuDHt/Or+wZvySqtg2r4JGg1wy3UTHW79WlplwFtHNqLUAMR3G4QBbVzLvNIbTcD29QCAiePHIdpyLfwmdzdOl+Sja49eSOvb3OW2+vo+r0pvRFZJFVrFhfskw1YtfH2cXCVmnNfGp0H/k08+iVdeeaXG1xw9erTO/09xcTEmT56Mbt264dlnn7X52jPPPCP9u2/fvigrK8Nrr71WY9AfGhqK0FD74DQ4ONivO4XIlXaKRdSSYyNsXhscHIx3p/fD8Fc2Yv+lIhzNLkOvFrEu/b9iEZSwENv/PzJEh7JqI6qMGq///L7bcwnHs80pmEM7Jrr1/w/ukIjosCAUVxpwPLcCfVrG1mvb/KU/lerNfSEyRIfIcNt+HxccjLV/G4HDmUW4b/mfOJlT6nKbNZYKfjqd1u572lp2UcgorPTqzyC3zJxSqdUA/5s1qNb/29kxSogJgkZjXoNcoheQGObZZzAYTdh9vgBdU6Mx+d/bbArYvbvpDADglTUn8MqaE3bf+8KqE/h023npsU6rweq/DkfHpCa4XFSBtLd+R0KTUJRVGZFRWIFhHeKx5ZS5RsXvlr8f/dIc8Cc2CUV8tPtZTMHBQFKTUGQWVWL8W39gbNckfHi380EhAeabj5AgncOfa4um1nW45QagaaRrP9e6/i7lllXAaBIQpNUgJS7K7aBsxpA2mPfjYZzKLfeL32lvuGTpq23imyAl1naQpNpgQlBQkN3NZm3HSaM1H3+d1vackRJn3kUir6zar36+lwrNqcZtEpo4bVdSTBB6tYjBgUvmIsOXS/RoG+94Vwx/0NDXpUsF5p9Z24Qo9GoZB+AMvtubib+N6+x027raWPuN7T1GVFgwckurfXLvURNX+o1c62bmlPVfD2bjb2M6APCf+wdvyrfMdjaLDEVEmOMJpLjgYIzvnoxfD1zG/owSDO1Y+6AKABhhXeYWFhqC4GBz+BRu2XZab/KsD/niOAmCgClLtuFYVgnmTuqCB0e4tiQzkPn775OrbfNpIb+///3vOHr0aI1/2rVrh+TkZOTk5Nh8r8FgwJUrV2pdi19SUoKJEyeiSZMm+P7772v9wQwcOBCXLl2yWbMfaPRGEwrKzetDHM28p8SEY3x384ly47Fcl9/X0ZZ9gG+L+b2Xbi601iW5CTon1b5dn5xOq8FgSxbE1tN59d42f1FQbg76Y53Ub0iKDsOgds2g0ZgHi07luFasyyQWV3IQQIkFAi8VVHi1+JkYVPdv0xTRHgbqgPkzibPqD3+2x+192n/en4m3N5xEh6dW4bb3t2Powt/crlgvD/gB8+/f0z8cwsurjmHi4t9RUK7HiexS6X23nHLehzsnu/e7IRcv2wFk/dFsHMksxmc7zjssOqWvYcs+8fkIyxqg4grvrbET98pOjgnzaBZ2iOU8seVUnrTmtDGrNpikquttEyLRppl9EOtJ4Tpxd4cgxTHwx0J+ZVUGXLFsIVhTsKrRaPDjw0PR1TLTfCI7MLaBdeacpd+0aRaBAbL6F8Nf3Yiics9+550VgIy0FPPz9ZbBckUVepf6jdzQDubCwlnFlfhgy7mGappfEwQB76afAgAkx9ScMdra8nN1Z5tDg6zQhPwaEG65HlVUq6eQ35m8MqlmxDu/nWIByADi06A/ISEBXbp0qfFPSEgIBg8ejMLCQuzevVv63t9++w0mkwkDBzpPLy8uLsb48eMREhKCn376CWFhtadk7tu3D3FxcQ5n8gOFuB2fTqtxWqhvsKV6/d6Lrm9J5uyGXtyizdtBf5XBiNOWKsGf3jfAra3ZRGIV/8a4Hdeaw1l44NM/8fP+TACOK0+LIkKCMKJTAgDgx32ZLr1/tUEcBLI/DSVatrGq0BtR5sWL6WXLTUBqTN0XeI6zpGXuOleA+z7ehcJy17Yg3HOhAI98sReL1lln70ssvxs1BZzTB7XCPUPa1PjeO85ewdJNp1HkZsDct5XnRbSUBbLS3v4dT31/yObziaTqyDV8TnEwpqTSe+eLjEKxX3hWsLNDYhNpa62zLm5fqGZn8kphMAloEhqEVMtASbJiSYQnAbrBQfVswLplX3m10W8COHFnl6aRIbUOIGo0Gql/XPbBdpT+5Hy++fejdbNIxIQHY2xX60zsykOXPXpPvThYpJxwCPH97kFKz/9irqHULj7S5YHnzslN0KuFubjwvotFtby68REEAXd+uAMrD5qX+yZH13yeTvJgxwyj0Rr0y69P4q4y7l5TfeVQRhHGvLFJelxaZcDBjMDrM4FKFVv2de3aFRMnTsSsWbOwc+dO/PHHH5g9ezamTZsmVe7PyMhAly5dsHPnTgDWgL+srAwfffQRiouLkZWVhaysLBiN5iDi559/xocffohDhw7h1KlTeO+99/DSSy/hkUce8dln9bVKvVGa1WoaGeI0yGgRZz6p5rhx0jQ4maWJssz0T3t/u1cvvhevlMMkmP//hCaeDfKIM3g7zl5BlaF+g1NBEKQgyBf+/tV+rD2SjY//OAcAtS5fGNjW/LNwdUa62jK6HOIg6I8ICZJmdPO9uPd2pqXt9bEbw+zRHaX16yVVhhpn0uUWrbUPhkV//HM0zr08GVe1irX7Wq8WsXj2uu5YcF13j9o7olMC7h/W1uHXRnVO8Og9AecZIv/bbs5EEAQBT3yzH39dsVf6Haop6G9iGSQsrvTeTdYFSyDSPM7zfiF+r3h+bczOWQY22iVGSSn8P84einnXdkPHRHMqcl6Z59u+BmltzxmRoUHSVpnioLWvfbHTXAH0RhfX+UqBiB9lK3ib3miStocVs0NevbmX9PVjHu5Fbx1MtO030X4WsJlMAlYdNA9sXO3iWnPRvGu7AQCOB1imSLXBhDWHs2y2T06NrXnQXvxdyyp2Z6bfOhsuvy+Oswxq55f5x3mnNo62zw2UraedCaRMB1UE/QDw2WefoUuXLhgzZgzS0tIwbNgwvP/++9LX9Xo9jh8/LlUw3LNnD3bs2IGDBw+iQ4cOSElJkf5cvGiuPh0cHIwlS5Zg8ODB6NOnD/7zn/9g0aJFmD9/vk8+o68dyihCl2dW44Z3twIAUmqY7YyPNAfJ+W7cuBmc7MHdPdVaQOe/ipTkhnQm13xj2iY+wuNCJh0SoxCi06LaYEKP+Wvqs3m46+M/MfqNdJst07yltMpgNwAjZnc4k2SZnc928UJabdkb2Vlht6aWi2meF2/iMy0zuin1EPQ3jw3HL48MQ4/m5v59JrcMu88XoKzKgJziShRV6GEyCTiTWwpBEGAwmvBe+ukaBwcSLYNTozqbC5u2T4hEs8gQtGoagSm9zAOgA9vVfLN4jSUjIy4iGP1axyEiRIc1j12DT+4bgKev7Ybrepvf5/mpPfDZ/QPx+ayBdZrpd9Z/iysNyCyswJ4Lhfjqz0v4cV8mft5vvuGtqfCheKNe4oWgv1JvRLd5q/G6ZSCmY1KUx++VYskS2HXuil/NLDYE8Xc2UTaYmhQdhvuGtZV+tzwJzp3N9ANAEzEDpMr3Adz2M/n47Zh5SeKknq5tB2ydfWz8yz+cySysgMEkICxYK/WdppEheOOW3gA8D2jF7YKVg4ni/5HjJz/zjMIKKbPtX5O7uvW9HSyDaVnFVVBRpnmdZBRWYNDCDfjL//ZIz4UEaXF3LRlvrS1ZNSezS6S+URtx4Ein1djcL4r3KQUqCPpNJsFmVv/ZKeaBos+2n5fuxwLNz/sz0W3+GmmwrbFTRfV+AGjatCk+//xzp19v06aNzdrfkSNH1roWeOLEiZg4cWK9tVGt9EYT1h7Otgs2uqfGOP2eZpZU7/zSagiC4FLQbHAy2v7i1J4IC9bh4z/OYf3RbDw00jtFRc5ZZu/axnt+I6/RaNA5uQkOZhRBbxRwpaxaugh4au/FQpws0mDHWfPSiT0XCqRlBN5y0sHN1aBagknxpvWPU/kwmoTaK6tbLraO0vsBoFlUKC4VVPhmpr8e0vsBoFNSE4zunIhDGcVYtO4EFq07geax4Sgor0aLuHBc1zsVr689gbFdk/D7yVxUWS68dw1qjSCdBr8dy5HWRkeG6KQlKLNHd8Cknilo2TQclXoTdFqNtLawU2ITjOqcgEq9CVUGI/ZcKAQAHF4wAVnFlWgXH4lLBRWIDg9GWLAWFdVGm9n4N27tjWev617nfiy6b1hb/Hm+AC3iwrHX0hbRkJd/s3ks3tSH1lDhX5rpr2j4wHnfxUKUy+6g2yd4fq4Q+9QXOy/iyOUSfP/QEI+WFKmBGNA7WhIUL86MefB7bXASvAHmfpFbUuXVZR/ObDiaLf3b1UK37g6aNkZ5lj6R2CTM5nejXYJ51v9cnmvbUinJAza5ZA9mfBvSngvma37npCZu75QSEx6MJqFBKKky4EojShbJKKzA6ZxSabBabvkfZ6X6BwDwyk09MbF7CmIiav7ZdU5qgtiIYBSW63EwowhXuTCobXDSh8Tr5BUXl+/50g/7MqR///LIMMSEB+P5X48is6gSz/9yBM9P9XyHDLV65AvzdpgPfbYH516e7OPWNDzVzPRTw/nntwfw8Od7pHREAAgP1mH26A5Ov0c80RlMgss33wYpyLM9aWq1Gtw31JxWvP9iocsjr3UlzvTXtVLywht7Sv+uaxGmT7aew63v78S/j+ik5y7kO7/RMRhNeH/zaWw/41l61i8HMvHVn/b7roufIyRIi57NY/Do6A5O07RFzWWz48u2nMUzPxzC+iPZNq/5atdFrLSMqIojy84CvARLwOCtdFdBEKSlCfWR3i9SFmPKKKxAebURJ7JLpRnk9UezpYAfAB4d0xHzp3THpsdH4b07r0KP5tGYP8Watq/RaNAhMQqhQTrEhAdLS2QA8+/Tx/cOwBcPDMKrN/fC0A7NsOKBQYgMDUL7BHO6dcumEYgJD0ZokM7uuAbrtPUW8APmNNVdT43F027MXNUU9IvrXL2R3i/W/BCNcHDj6Sp5n9p/sRA73SzuqAbbz+Rj6abTyC4xB1HNIu2XTYmFHT0p5Ods4BiQzfT7QdAv7gjz4g09nA5qKiV7sM64sSm2HDtxYE8knkOzSyo9WkYnZhkqj4Una7sbkngtHufCNn1KGo0GLSw/p/wq/x5MrDIY8db6kziVU1rra0e9lo4Zy3Zih+weZ//FQixae9xuELlH85haA37AfI3sbRmMO+rikhGxD+kUE1xNLdfPK348059RWIFF607gg9/PSs+1T4hCy6YRmNIrBYB5oNKbRZPJN1Qz008Nw2A04bs9GTbPrZ9zDTok1lytOyxYJ21Xl1lUgZiIYGw6kYsvd13Awht7ORyl1jsZKQXMN8QajfmmrrBc7/Eae1e9vuY4VuwyX2DFtDhP9Wgeg7FdE7H+aA4OZRShqEKP7/Zcwqs393ZrtN5kEvDq6mN2z8//6TA+3XYeRywXp5GdE/DBjP4I1mmxdNNpvL72BEKCtDjxwiSX/5+nfjiIppEhWLLRvHtBy7gIDG7fDLklVZjz1T78ftKc9XHXoNZ4xrJWsDZtZIMnL640b7X5vx3ncfKFSQjSaZFdXIknvjVvAbd+zjW1pveLgzGnXbgxqA+5pVUoqtBDo6n7QJBcXwfr72uy6q/Dbfr/pJ4pmNQzxaP/u0NiE3x2/6DaX+gF8hnPuwa1xn+3O1/KExqsc/q16HBxTX/DB3cnsqyDeMeen4iwGtpVG+WSkSOZxRjUrpnH7+dvxGJa8jokzRzM9Iu/W6dy3f+9FgeOdQ7S+6MtgaI3ln3URuw3XdzY9SJRDEADYHcHZ0qcBP3NIkMQHqxDhd6IjIIKtHMz48ZpAcho/9n1QRAEHMk0X+Mn9nBtSYhSm2YROHq5GB8d16L05yN4fmovj3YbccZkEvDMj4fQIi4CA9rG4d2Np/GvyV3x1Z8XEREchDFdE/Hcz0cwtEM8/jq2IwBzDZN5Px7G/41sLy0Te3/TGby5/gTeXH8Cvz8xCs//cgRT+zbHT/syMaFHEoZ2iMezPx3GiE4JUu2ftzacROy2c5g/pTumf7hDKm4r584OTF2Sm2DTiVw89f0h3DGgVa3ZqmIxSOWkVZwK0vvv+nAHzsgKyA7rEC9lBi68sRd+OXAZmUWVyCyqtJm8CQRixkegYNAfwLKLK+1GWjUac9VcV3RIjMKeC4W4fskfaNMsAicssxst4iLwrzT7WT3rln32QZ5Oq0F0WDCKKvQoLK9u0KA/u7gS/95o2dolOgzjuro/qq40oG1TrD+ag3VHsrHjrHkGb2DbS7jPSWE0wHyRLyjXY9e5K3ju5yO4Y2Arh5XqqwwmKeAHgPTjuej41CqEBmml2eFqgwkllXoUlOnRPC4ceqMJBpOA7/ZcwiurjmFSzxQsuK47gnQa7D5fgC922s7u3/7BdrRPiET/1k2lgB+AVBHYVf83sj3etWyDaP6M5hTpbqnRNrOm647kSFv2KS+iok6WC/ixLM+KN7lKbzTh9ve348/z5tTKNs0i6xTcKbVPiEK7+Eibi64zSdGhdUoh92fBOi1+fXQYiir00Go0UtB/TacEXNUqFovXn5ReKxZlc0Sc0fXGln3icoM3buld5z6hrF7fEFuzifUT6rP/uupMXpld4dEUB7sdiL/Xm0/kYv/FQvSupUConBi8BTsIZMRsF1/P9BeV66V08Y5uBCHJluUfJVUGlFUZpK1sA0mpFPTbDpaLy+j2XSzEx3+cczsN2dmykGgf7RzkSG5pFQrK9dBqPJ+I6N+mKVYdyoJR0ODznZcwoG08prpYSNKRSr0RWo1GGpg/kFGEz3ZcsHnNhmM5sn9n48ClIuw8dwXvbz6N7qkxiAoLwm/HzPdGt/VviWNZxVLACZi3YgSAtZaswNWHs6SvidX4AWuxOflzcuO6JdVYC0bp6jZN8Z/NZwAAJ3NKpfOSM2IGqnKSQtydpqC8GiaT4JdLtpT3Hg+Psmbxhofo0C4hEieyS3Eooyjggn55ckO1weR0EqqxCLyrCgEwp/LM/ORPu+fbNot0OR2xc3IT7LlQiGqDSQr4AdsL6KmcUlwsKMfwDvG1bscVF2EO+gsaeNQt/bj1IvXTI0NtLkCeEivtigE/gFq3aPt023nM/+mw9Pi1Ncfd+j+rFIVXej67FoB5FPdwZpHNz/Gb3Zfwze5L6JQU5bTIzencMpzOtV4cOic1waQe7s0wJzoYrFm07gT2Xyy0GdA4kV2CVpZURGcnWXEdp7v707vrlwOZUsAP1G3dtiMajQZf/WUwTmSX4I21J7Bb9n8BwFNpXXFzvxbmmwqN859HYyDWCZGnQj4xoTNSYsJsg/6gGmb6vZjGfdJyXuvsxoytM23jI9ExMQonLQOtK3ZdxKSeKbimY7zLhUSrDEbsPleAQe2a2d1cZhRWYMKbmxEZqkP6P0bVy3nNVRmFFXhttf35S77Puqh7ajS0GsAkAC/+ehRfPuh6Jop1Xa2j9H7/COBO5JgHc1Jjwlzecg0wD1pEhuhQVm3Erwcv45Z+LTwuMKtWYpZGEwcDHrOGt8PDn+/Bf7efR99WsbjxqhYuv6+zZSHiwIo/bPN48Yp5GV9KTLjHg3bjuyVh0drj0rX23xtPeRz05xRXYswbmzC4fTO8P6M/ANvMJ0cOXLIWiSurNmLnuSs2mQZfOlhKWB/Wz7kGzWMjan+hzJiuiYgI0aG82ojjWSW1Bv3OloiIy+NMgnkXiLh6XBpXHxztANUm3vZn1Tk5GieyS/HwZ3tw6qU0bzXNL8gLGB64VIjYiOBaM53VrPHeXVKNfj1gW6ny6jZx6JgYhTdv6+PyezgrUCTuZ1pRbcTUJX/g3o932dQLcDYaK548Cxq4IMrnlpHqxyd0RmKT+ivYpnS5qBInskvw3+3npRNvcaUen247h9IqAxb8fNjue+rDllN5TgdOTmSX4qnvD9X4/V2Sm2D9nGvw66PD3A5Am0XZB/1bT+fbZTCczCmRbdnn+AZHPDa5JVUNutZMGYSH1jDL7Kn4qFAMaR+Pxbf1Qa8WMXj79r64Z0gbDGjbFLcPbIW4yBAkRofVW3/0d00jQ3DXoNa4tlcKuqZEIzYiBPIYtqZj4K0t+6oMRmkbphZ12KpPFBKkxbo5I7DnmXEQY7m7l+20y7qpybwfDuOOD3dg8QbrAMmuc1ew+tBlPPzZHpRWGZBdXIWDGUVY/sdZZBVV4uM/zuK7PZfq3H5njCYBQ1/+zWaGDjCfRxzVhggLNg9KAMDOc1ew72Khy/+Xs7owgHczQGqSYdlyrlUz94IQ8/eYBzqf+OYA3qhh687Gyll6PwBM6pGMWMt6beX9S22k7YIV/UbKDvGDoF+sK1DTrkm1adk0Atv+ORJP9TF/nlM5pSiqYRLlUEYRVuy8AEEQsGLnBZzKKcXp3FKs2HkB64/moKTKgLVHsrFo3Qks/+Ms9l0qtHuP2uq/eGPb4Q6JTdwe5NRoNLi+j3mnmiMurOuvdlJ4OCRIKw1S+WMxP0eTT8qss8mWHUYMJgG7zze+WjPO6I0mVMh2F7p56TaMXbQZ5dW+Px80FM70Byh5ESmNBlhy51VuBxyDnaxHFYs4nb9SJs26rDlsLehW00w/UPsMeV2dtaQ6eVIsxxlHqZiXiyox/s3NAICwIC1u6d8S8344hB/2ZeKXA5fh7Fr44vXd8OPWQ2jeogUm9UjB/3ZcwIA2cTiTV4b7hrbFte9ssXl908gQFFXo6+XievqltDqtARzfPQkjOydg9/kC/H1cJzz78xGHr8svrYbeMsIaHOT4/4u3DCBU6k0orTLYpXzWh22n8/G/7bbpikPaN9w665ZNI/DT7GEAIG2NF6iUKbpNI0Okrd5qnOn30pZ9YjZCkFbjdiXtmjSNDMFTaV3x5roTKKs24uM/zuL8lTJ0SmyCm/pZZy/f33waTcKCcfuAVgDMg6jiTNnbG05izrhOyC6uxC1Lt9n9Hy/+egT7LxXZ/P51T41B5+QmMBhNeH3tCQxs2xSjuiTW+fMoC2HdMbAViiv0+Nu4Tk6/p1WzCEzqkYxVh7Kw5WQeeqS4ll3jrII2YD1f+Hp9tlh9X3lj7YrOSVHSz/PfG0/hHxM612vb/J000+/gXK/VavDpfQNw3b//kKrcu0raLljrOOivNpigN5pcznJsCFmWWg5JHvQbufAQHRLDzZkmmUWVmPruH3h7Wl/0dLBUT7yX2H+pUBp87JQUhRPZpTbZFm/LBhmV9jwzDgDQ5slfPW5zu/hIJEWHIa1nMvLLqqGBBidzSvCLZXBHrJnUu2UsXr6xJ/6z6TQyiyqx8+wVDGhT865CNenbKg5f7LxoUyTQGfF+xdF2oU2jQlBSZTCv6/e81muDUE4A9WweY5dBNFGW0XnTe9tw4oVJjTrjUFTqJFsws7Ci0c72M+gPEHqjCUUVepQbzMHoJctsxFNpXdE9NdqjGcY28ZFYOv0qLN96DtvPWAcRxJTYi1esadny2RxHJ03AWhAlv4EKohiMJvzfZ3ukAmB1vbgqRYUG2aSWytPSH//mAJpGhuCHfZkAgJ2WZQCtm0Vg0+OjMOHNzdL64e6p0YjqYEJaWg8EBwdjfHfboj4f3d0fRpOAB/67G4A5kHykTyoWKALshCah2PrkaGw6nov7P7VfyiESCyQBjm+m3REapMPyewcAsAyuOAn6C8qrpZHzUCc3WuEhOmkLotySqnoP+reeysMdH+6QHvduGYspvVJwhyXIIu9qFhlqDfprSG9t6C37jCYBf/9qHw5Zimo1iwqp9zTr+4e3w01XtcBVL6zDyZxSKeX/xquaQxDMKeIvrTQX9ZzQPRlxEcF2NQCGLNyATCdF3/bL0mxFExZvxqzhbdE0MhRLN53G0k2npS2KSqsM+OsXe9GzRQweG2sN1n85kImPtpzFO7f3RVNLMTXlz0K+7/ODI9phzrhOCK1h0EY0sK15/fF+B7OHzjhLsQWA5BjLrgAlvi2EJ67nT/JgxrZLSjRguUYA8Ns1wg2hvNpQ40w/YK03VFCuR6Xe6HIavLNlIfLB+rIqQ6071DSky0Xm+4X6ui/pnhqNzKJKnM0rw13LdmD30+Og1UD6/TXJJgnk2UbiUk1n2Q8hQVrMHNYW76WflmbKze0OtdsFYWzXJLRqGiFlbkWFBqFTUhPM+vRPdE+Nxn1D2+JyUQXuH97O7lgWlevRNSUat/RvgSCtFl/uuohpV7dEXGQIFk/ri4pqIz7bcb5Og+cDLcuPDmYU1brNsN5y7glxcO6JiwjB+fzyBrt3rQtxEi01JgwPjmjvdFJjbNckrLdsNXowowj9Wte+jaHaOVsimFNcxaCf1G3P+QLc9v52AEHALvPsc2KTUMy6pl2d3ndijxRUGwWboD+jsAJf7rpgczMoD4aDHazHBKwXu5wG2D5HEAR8vvOCVCwGsBbxqS9L7rwKdy/biRuvao7v9mRIGQUiRzUUhrSPB2CbIteqaTic1zUHxlgKD/ZuEYP9l4owpVcK7h3aFgPaNsWGozlYtM6cFrp0+lUI1mkxpmsiPrq7PzILK/DMj/ZLCjokRtkcq/oSV8PWOZV6k5SGW9OIckKTUCnod7dic22+2GWbVt2Y901Xg2ZRIYDl17OmQn7iOulz+WXILamq96KfhzKKpME5wPG2c/UhLjIEnRKbSIN9ADDitXTEhAdjQndrFtIPezOwaN0Ju7XqzgL+msi3bALMgVZuSRU+2XoeG47lYMOxHMwe1QFBOi0q9UbM/ty8h/GtS7chq7gS13RKwKs39UJ2cRW6p0bjYEaRVHH8joGtMHeS69sytrX8PssHh2tjqKEuTJJl4HrP+UKUVxsQEeKb2xtxpj/Jg4H0q9vY3mgXlFc7XDLV2Ly57gTeks0mxzkJvqPDgqRB6uziSpeLDjtbFhKs0yIkSItqgzmbzFdB/5wv9+G7veZdlDol1c917t4hrbHuqLl+UWG5Hn/7ch/WHcnGC1N74KZ+LZDjRkZMUnQoHrimPZqEBaFrcjS6p0ZjeId49JHtTPP2tL64/YPtUmAZpNVisJMA87v/G4KUmDCHhT5FMRHBNgXnHhrZ3ubr4SE63D+8bvevLeIiEKzTQG8UsONsPoa0j8epnBKEBevQIs52eY61er+joN87WaqeEGf6E5qEOq3nBACv3dwLfZ9fB8B6DmvsnC0RzGrEn59BfwC74SrPq7rKDZIVa0qJCcPlokr889uDDl+r1cBpYJUk7d9c/79wW07lYZ4s4A0L1tb77N2ITgnY/fRYRIQE2W2D6Iw46totNRrbLClmrs5of/ngYFwqqEB7S8G77qkx6JTUBNtO58NgMkk1FzQaDcZ0TbJst2Mf9PdrHdcgQX9tRazEwKqmlMr4JqE4k1eG3NL6HwiSFyX665iODPh9TB7c1DSD1yEhCuHB5gJMV7+4HrueGluvgf92RapnbWtW66JLim3Qf8FSzEv++/jcL46zZRzRaGyrEdfmwf/uttmtAwDOXylHsFaL93+37sIhDjCkH8/F6Dc2obTKYFOUEHA/nb2lpU7CxYJyl2t21LRlnzizXqE34sH/7sZ/Zw50qz11pTea8OuBy1J18fYeVGDv3SIWQzs0wx+nzH0wq7gyIIL+lQdt1+g722tdo9EgKToU5/LLkVXkRtBfw7KQqNAgXDFUo6zKfuccbyip1EsBP4A6VduXu7pNHP54cjReWXUMP+3PxE/7zdfbV1Yfw039WkjnGmdCgrTokRqNpdP7oWlkiF0tpiEd4m0eD2zXDLufHocmYUG1VtG/qpV/zCLrtBppBv+OD3bgtZt74fFvDiBEp8Xv/xxlk3UhLUd0cO6Jk+pR+dfWbzkllfjasiSstgGtuMgQTO6Zgl8PXsa6I9lI83CbYDVxVvRVmbHSmDT+RRsEwFxF+eizY7FokAFHnx2LUy9OcmtWpiaJ0WH465iOmDG4NT65b0CNr61p9kXcsmjVoSzp5q6+7DhjW5xk/pTu9fr+omZRoQgP0TkMQuKjQtEluYnNzbG4T/eccZ1wXe9UzJ/SzeX/KyxYhw6JUTaDF8E6Lb54YBC+/ssQu2Baq9Xg1Zt6YXLPFPwrrYv0/F/HdMTwjvF4a1ofl/9vV8iD6D4tY/H4hM64Y6B96nxtM/1A/a7T/XLXBfx64DLO5JkDlt+fGFXj+mPyjmay4Dq0hj4RExFsk3q45VRuvbZDuUbdWapxffBkV4Ab+za32//943uvxohOCfjvfdZANy4iGItv64NRnRPwzu19MaR9M7w1rY9NRX1lwA8ARzKLcdeyHXa1LkTijdJJxXavSdHuBafN48Kh0QDl1UZkuXiTZd2yz75/tJEFgL+fzGvQ4p+OrDqUhce+3Cc9Vs7auyJIp8Vn9w9C99RoAEBmYeOdcZJTzqw5m+kHrBmB2W5cE2paFmLd6tE3AZu8kGxik9B63W6zeWw4RnWxXWRuEgSsPnTZZuegDolRNtfmYR3icey5ifj2oSFIjA5zeSu8OAeDA/5Ofi59/JsDAMxF+z7bcQH/2XRaqpUkDg44+nxiQP3yqmNSbQZ/8K/vDkrZrTVlXorEJZff782osQBkY+Esvb8xZzpwpj9AaDQaBOm00GnMJ636PjHLg6YNfx+BMW9scvi6mm6g28Rbb9q2nMrDyM51LzIlEmfTnp3SDfcMbVtv7+vM1D6pUirt4xM6IzRIK6WibTmZh+kf7UCP5tFSUBsZGoS3b+8LANDrG+5ke+vVLXHr1S2hN5pwpUyPazrFIy4ypMFmxT6c0R+nc0tx//B20izLpuO5NvUOaro3T5AV5/pi5wXsv1iI567v4XGRmVM5JTZZKFpN3aolU/2Jj7Le6Nd24ysfUKqvwGjHmXy8vvY4dp2zLRJ2fZ/6mXlzZEqvVLzqYKs7ABjUrqnNsqmXbuiJ/NIqPDyqA7RaDQxGE5ZuMu+FPapzIkZ1ToQgCOjRPBqHMorxwDXtMbVvc2nmcIpl7ev1fZpj0boTNsW5ruuditO5pTicWYyXVx3zaJtMd7fMCg3SoXuqua1P/3gYN8XX/j1iFXZHM7Y6rQbfPjQEN723FYB5mZkyRbchnVLUXKjL8oJ2CVE4nFmMWZ/+iccndLZJc25sisr1djffNQUoUtDvRnBV00x/QpPQ/2/vzsOauNY/gH8TlrDv+yogCiLgClIVNxTcq7ZapS5tXWq1ahdr7WLV3lut9tbW2lZ7r61tXbr8tJu1WFDQqggq4oooiIKyCci+BXJ+f4SMGUgCyJaE9/M8PJqZyWTCYZJ555zzvsgsquyyBJCpciPODixuefnKlurjyE/gV1Beixf3JnGPF4d64q0J0g4gWWWjjIKKbjPy7aOnA/HUzjOoFvM7mmSfjzpCARYO95SW1IWyOf2P/l5n7orHyTdGdeARt0y1uB4xKY/KU7dkemRoL1tEN9wkSMgobJJPStsou9GnzUG/Zt2SIxrBy9YEC+TmDsnfSTVRkOX+0XZm3JeyLNFge6gW13PZWX0czdptv6q8MrYXdIUCWBvrY9FwT97cs2HeNtg1dyA+nzOgU45FET0dId4c78PlFOgoYX3ssWSEF+9i6/sXgvCS3Pw8VcMMZTdF7hdXYe2hK/jhXBYOX85Wur0y+aXVmLj9H0zZcZq33MZEpHE9E9pKPvlbc8P1Xxzx6HzaejQVfdZF4auT6Sqe0VRlbR1vRNGO2DRewP/j4iH477xBiOjbcRc+rlZGOLj0CXz/QhBcraTD3b1sjbFlRgBvJNbkQCfMCXbDy3LTUHR1hFg+2puXgV8gEOC/8wbh45mBWKwiX8vC4R7cyIoVo3ti++z+mNZwc+BxAv6ediYY4tn6LNpDG4YIx98uQr2k+XJ7j3psFQckA90tuTnR6Q8qFG7TUe63Y6+8/Hfm1qOpXV6RoKMUV9YiNjW/yXJVQ5FlI0pac2GuqtSjbH+dPY9XImGYuzsBm/6SJux8bWwveLVz3hpAmiNgaE/lFWnk/9bmh7gDAN6I6D5VI/o6myN53Til6//1Zwr+uJTNBf2K/oYs5EapZRZVoqaua6aKyPv1In+KqUMLOjeeHujC5dNJyizuiMNSK8q+b7R5Tj9d7ZIOMf+JHjDQE2JxqCdXSglofqjs7CBXANIgrS2qxfW4cPchqsX18Hk3isvY38/Vok37bSkjfV2ceXM0/lo5XGGvdLifQ4vnI2obT1sTvBHhgyWhntDXFeIpuTJljcmG7P4ml1jtcfIPvP9nCq5ll6Kylv9l3JpkRqRjjfa1g0hXiPkh7s1msH7CywbbZgVyjytr67ElKrXZIYkXMx/iwt0iZBRUYOD7MVj9f5dxM68MWUWVOC8X8M8OckOwp3W7lvVUZqC7JYZ72+KXl4Zi/6Jg/LUyFDMHu3JDvAGgVyvmhzuaG2L6ABeVmajNDPRweMUwHFg0BCvGeAOQ5hWR9+PiIdj57ECFz5dNv5g7xB37FwbjpyUhj3Xz7LWx0uBCXM/wfZoQAz+Ixd/XcpVurywLuzzXht79rGbmLLc3WfZ1ADBuZc3wxkb04g/JjlMQGLeXipq6LqnNfbewAkH/PsabEiGjKo+G7LOhNRfmjxJANv27eZz9tYfpX57hTa/xc+6YDgnZjcC/XwlVOIJiiFzp5Xcn9UHUquHdrpysgZ4OloxQfpN005EUbui7os+5AW4WvBEAHZGMurXOy00bsTbWR5hv899lBno6eLth1EfjajHaSFkOhmv3S5GWr53vn4b3kw7hYWOMlI0RAICVPyRzy02aSe4my3jc1i/gbdE3sevkbd7F03Bvm3adL9ccu3YuCaht1k7wxStje6lsk2AFvYfN9eD9lnwf6fnlmBToBD0dIc7eLkRGQbnCbRvPjSZdx8vWBFfWhyvtxW1scoATXvnxEve4TsIQf7sQEX0dkJZfjt+T78PJXISyKuCn8/fQz90K076QDv3u72aBKnE9frl4H7/I9YhYGevj6KpQ3lSDzmJjIuLdINXVEWJNhA+O38jDvJAe7f56juaGvOzZ8sm1elgb8eb+N7ZtVj8Ee1i1Ocmcvq4Q/d0scDGzGBcLpRfNnx1PUzqsVFWPrYyrVVcF/Y++s3YvGNymffV1Nsf/5g3iSq1+G38HTw9ybdM+5THGcCjpPvyczfCvwyk4lVaA3fMHcZVh2qJaXI8fz2VhjK+dyukVZ28XorZeAj0dAexMDfDiCE/sPZuJV8Z6q7xhJQvSD1/OwZyggiYJ5RRRNS2EC/o7cS42Y4xXxhgABreh3nxzjPSlpfI2TffHtuhbWDe5D749cwc2piI4WTz6DNDVEcLHoXNGQ6qb5aN64ur9EojrGBLvSG+CedkaI/1BBbJLqrlh74qG9/s5mSNp3ViM+igOD8pqkF9WzX0OdRXZSJgtTwXg6YEuLU5c3cteek3UHYJ+ZdUWauslCPv4JE6/ORp2xtoVJmvXuyFqRfYhI3/XvrmefseGL6C7hW27YNt18jYA4MTNR0m+PpwR0KZ9kvbX3E0YGxMRrIz1USRX/zY1txRv/XIFnjbG2H0qAwPdLbFxal98EZsGG1MRNjcMlzxxqwCXGl1YyfyweAh+Pn8PkUOaJhYkXac1uRoU9bgs3XcB4/rY4+i1PPktgeTr6CvXk3ZRydDFEC/rdi8B2BZLR3o1KVXVUQz0dPDvaX1x9FoeVoV5c5/fDmYGyC2txuvjeuGjv6XlQO1MRe2WVX6AmyWvPQpUVOpQNTdbxqWhKsDjTFN4XIwxZDe83snVo+Bm3fYL/rA+9jj/ThgG/SsGV++XoqiiFlbG+th79i4qauqwONSz1RVoYlPz8dO5LPS0M8Fnx9N46w4m3WuXoP/j6Jv46uRtfHM6A3Grlc9tvtEwl31+SA+8M0mawHZuC25u+Ts/mqM+538JuLJ+XLMVb7gEkApuFnk05BJKy1d8Y7gjyPcwBriYY9Zg1xZX7WmLiL6OiOgrzco+tAU3S7oTUwM97Fs4BCVVYgRu+BvAo/wngLRyCaD8hqOJSBduVkZ4UFaD3JKu7+mXBf2O5gat+pyQ3azIK62GRMK0NrfD7lMZ+DZeWhzbx8GU+zySdymrGGN9tOs8oaCfdDj5TLxmzQT9suH3F7OKUS2ub1HPfGF5DVb9mIxQb1skZT6Es0XT2q8vjfTi3dEmmsPcUI8X9OeV1nAJhwBpj8/hyzlNnqcs4AekvSrywxqJZgr3kwb4kcFu2JeQCcbQKOB/5Or9UoXL5XX3v4nIYHdEBrvzln01byCu3C/B7MHSKQ8pOaW86glt9YSXNXafyuAePyirAWMMAoEAyVnFWP/7Nbw1wRdBHlbcnH5VUwlk3zclzeQHaC/iegme++YcahpKetmbt99NIxsTEXramSAtvxwjt8Zi+gAX7DlzB4C08oN8slvZ70yVtw5d4Y1IkHctuxRVtfUw0BOiuFKMpfsuYIinNVaFSZP0nr/7ENuu6MDRvxhBntIRdFfvl+DtX69i9bjeGOYtvTj+s+Gz+E7DjXtlxyXrSezVytFW7o1uqNzMK8NAd9W95LK/G0XTQno39Gxeyy7F+t+vYf2UjqnsI0828szJ3AC/Lx/W4a9HWs7cUA875vTHzdwyLBjaA2fSC3gJVVWVGJZVZlKHRHCysnOtLaVqayqCQCCdclVUWcsbfaYt7hZW4H25UrjPD/NAaZUYwR7WmLzjFLdcG3OpUNBPOpyV3FBZNyvV89i9bI25nt1/bhXAzcoIHjbGKnsA1/1+Df/cKlBYfkpGVQkgot7kh+nqCAVcCZ22UNVTSDTHf2b2w7ysYjzhZY30B+W8i7OWMjXQhZmBHooraxHm234VQ7RFgIsFAlwsAEhvlrX3MOTG0wjqJAyFFbWoqKnDR0dTkZxVjJm74nFn80S5udkq8hUYSntMm0sK2F4OXriHU2nS7x59HSEvIWV78LAxRlp+OUqr67iAHwCiruZyQf/i787jVn45Di59ghtZd6egAg8ra+HvbI6VPybj2v0SpQE/IB1d57suCkEeVkjMkJ5HZ28XYXKgE7xsTbD171u4Uy7AzK8ScfuDCXhQXoNl+5Nwt7ASz+5OQNzrIyGul6Ba/ChvysofLiIxowj/mRmIl/YlwdPGGCk5ZZgS6ITUXGngKwu6W0ogEGDLUwF4o6G82ooDyTj95miVz1E1LcTNygguloa497AKe87cwYwBLvB3MW+yXXu63TBFzcO2e+b1UXeTApyAhoGh22f3R9C/j3HrVN1wtJMlmSzr2qC/pFLM3fR0bGVnl56OENbGIhSU1yCzqFIrg/7URr361sb6mKlg+lT6g84b/dNZKJEf6XAhnlawMNJDD2sjzAlSPZxaIBDAs2G43aLvziP8k5PY9FeKyufcyGm+B8+iBTVKiXpytJDeqTYR6ba4vJ6iRFB+TmZwNDfAxqkd35NDOoeJSBdDe9pIA4EZgdzQbpGuUGViJkB64yfu9ZE4sXoUYl4dgVNrRvPmuJPOYWqgh5kDnWFn8Ohm3psHr2DE1jgumAakCedkc7NVBf3msqBfSQ3m9iaffZ6h7TckG1OWX+LEzQf441I2SirF+Pt6HjIKKrgyYzdySzHyozhM++IM3jx0BX9ezuF63psjC/hlvjpxGzdyS1Eu9/v84VwWRm6N403DG/lRHMZuO4lCuVFZvyVnI6ekGnP+m4DiSjGSMotRJa7Hj+ezuGkcPVuRpFJm5iBXPDe0BwAgu6QKR67k8G42AEBKTiku3ysGoHpaiFAoQNSqUK56xtXs1ieKba2Mgoag34aCfnVnZ2rAVToBAH0V+UQcHqOcZEf47z/S6a3OFoYqK2Yp49AwWmnDH9eb2VIzNc5XIF/ZYO14H+7/v168z6vwow2op590uJ52pkh6ZywEArRobpGHjTEv8+g3p+/genYphvW0wcjedjiVVgBrE+ncxrlD3FtUmol6+jXXF3MGYsvRG1g3qQ/e+/2aynKOpiJdjPNzwAvDPPDmocuwMNLHyYa8DhP8HbW63nV352ZthFNrRoMxBgmT9vTuOiG9+NkZ2Q9fnsjAoB5WOHnzAW7ll+MJL2v0kLvoNmxjxnXy+P79pB+O6N/FtptmuFNYiZiUplM0sh5WypXNUt5fIQv6O2N4f0mlGKfTCrnHkwLaP+t5DyVVXnJKqvHygYsY4GbBLZMlh5OfyvJ/F+4p3XcvexO8PbEPvoxLUzpK5sfzWTh6PZd3o2VbzE1UidtelmxoT2sYP0ZQAgDvTOyD7+Lvol7C8NK+JEwOdML0/s4oqqjFBH9HjP/0HwDAubfD5Eo9Kv67MRHpYlhPGxxIzOqUIb2yoF9Z2xL14mhhwN3MUvXZY88N7++6YeFvHryMH85lAQC8HuOGGgCM8bHH1fuluJ1fjrp6idaUNZZIGPacucMbMQWAVypzyQgvvDDMg6v69aBccbI/TUVBP+kUrUkGomjIW0JGERIyivCfhqQqMqsbhvgp0sveBDfzpMNzqKdfc/m7mOP7F4IB8G/eOFsYYnV4b7zyUzJYQwfbmbWjuYRIvy8fBsYYPNYeAdC0DBbRTgKBADoCwNJYHx9O98OlS5cxxscOEf7SOvT5ZdX478nbWDhc9UgA0vkczERKe6QzCyu53mZVvVdmhtJ1pVXiFs1zb4uYlDyU10iPaUmoJ1f+sD09O8QdD8pqcLugAsdvNC3dJ19POzmrGBGfnOSmOCgyyN0S5+8+hIGeEFErQyEUCnCnoKJJ0L9idE9sb0j2V9yotFV7BcbT+isv19ocHaGAm/oAAH9cysYfl6SlXR/IJYOMv10IcQtGiNg2DGPuyKD/QVkNVv/fJS4pXK9WTm0gXcPJ3JC7kaYqz5RseH9+Fw3vzy+t5gJ+ACrLIauyYow3vj6VgbKaOmw/dgv3HlbhvSl+3A1VTbU/MRMbDzcdvdC4TXV1hHC0MEBWUZXKKVGaiIJ+onY82zDkzcPGGGaGekjJKcX22f3x9JfxqK2X8Hr0iOZaMsITR6/loo+TGZcAaUvUDWQ3fDA3DgYEAgH+WjkcBeU16OvcsfM0ifqZ3t8ZBjmXeMvsTA3w9sQ+XXRERJXZg11xNuOhwnVHruRwvffmKm7iyi5M6yQMlbX1j92T3BzGGDd8fHaQG9Y21Ldub8YiXbwzqQ+SMh/i+I18CAXA6+G9sSUqVeH2irJQA8DbE3yhpyPAM0FuSLr7EMYiXe5m/DNBrjDU14GRvg6W77+Iaf2dsWSEF348n9WqXsvts/vj3sNKnMsoQmzqgybrDy4NwZ2CSmyLuYmSSnGbb8T2sDZWmHVfVsEFAOLTC1FVKx2VoGo0j6xqR0cE/eJ6CebuTmhyY6U3lYzVCPJJoL3slF9LPhpl1DlTixqTL3X9ZD8nTA5wfKz96AgFcLY0xI3cMu7GX229BDvmDGjR8xlr+tlbXlOHmTvjEeRhxSXLrK2ToKiilje8HgCXUPR0WiHe+uUKNkzxwyiftufbka/mBQAfTPPHEAVloQFpSdusoipkF1dp1Tx4CvqJ2vGwadmQJAsjPa4H4uXRPfF5bBpmDXbFM4NdUVIlhru1MU68MQoVNXVamYykOwpwsUDMqyN4PVlvTvDFigMXsWm6v8JePV/H7ll3mBBNM8HfATfyK/BlXHqTddHX87gg1UxFeTNDPWnwWllbj/yyGnh0QNBfVy/Bsv1JXKUI2XzwjjTAzRKHXx4GXR0BfBzMMKq3HSSMYdaus9xoA2VsTERYFPpoZEvj2vYiXR0ukZWPgzT3ibFIF3+8PAwPK8QI/+Rks8c3vq8DpgRKpzdE2eRyQf/sIFccSJT2PvZztcRAdyuE9rJFTV19m8tjtqTn8eztQrg1lCEzVNFLywX9KkpGPq6gf8fwyvQBQKCrBezUqDwoUU4+l5Cq0RmP8ol0ThLRxgobhqILBMAnz/Rv077szQx4NxAv3FV8M1aR9w+n4JszGTi09An0d5NWejl44R6u55Tiek4p1k/xA2MMU3acwo3cMmx5KoD7/Dlx8wHmf52I18b24kb2bj2aqjDov3yvGJ62Ji3OW5AtV8Y1MtgNc4KV5xhzamjznNJqOLfsbWsECvqJ2vFsQUbbIA8rfBk5AAP/FQMAGNvHHq+E9eLyBlg0DAO3MtZXmNSNaK7GozamBDoh3M++3bNmE0I635oIH6wK80ZmYSVW/pCM54b2wL+PpPCGmKsK9gQCAVwsDXEzrxxZRZUdkiztYNI9XmlIWVDZ0eRHK8luZia+PQblNXWwMzVATV093jx4BcdS8mBjIsLzwzyw9+xdfPR0YItfQz6xnp2pAexMDXD8tRFYti8JwabF2HNL+jn72the+CX5PqyN9bHnuSAYyfWij+xtixG9bOFhY4w3Inojq6gKga7mXCK9tgb7Mk4WzSd2zSyq5BKxGekrv+TtqJ7+eglrEvDHvj4SPayNOnTqCWk/YX3scSAxE65WRiqrTcg6I2rrJC0uOd0eckqqcPDCPeQ3/O2Gerd9KqMsaaqMuP5RktI/LmWjsLwGkUPcm+Q4eFhRi69PS0uwHr2WxwX98lWYJBKG2wXl3E2F2Bv5XNC/fH8SAPCm8iqq2JSU+RDTvzgDT1tjHHt1RIvOJdkx7F8YjBAv1eV5ZaM7coqr4axFXf0U9BO1o6cjxE9LQrA/4S6yi6uReKcIwR5WKK4UIzWvDHOC3fDBNH8AwHuT+yCzqBL+zub0BdqNUcBPiPYQ6erA294UR1YOBwD8fimbV5JVNm9fGVdLI9zMK8cXcWkI7YBcHlfuP8rwPiXQCaPbYejp4zLS1+WCWZGuDrbN6sdb/+wQ9za/hqetCX5fFoIjR47AP9Af13PLsXSkF15WksPAQE8H3z4fxD3euzC4zcegyIsjvJBXWo2p/ZxRUF6Df24VcIkLN071w/rfr6FewpD1UHqxb6RqeL+J9AbCg7KadssFcSAxE3cKHyUaDnQxx+wgN8rar2G8bE0Qt3pUs9uZ6OtCKACXSLazgv71v1/j3YS0VlLxozUGuFnykpQWlNfgzYOXERnsjpcPXAQA2JkZYII/fwqBfKLltPxyvP3LFbw0qieXZBSQjoRIlJvG9dfVXCzbl4QlIzxRI26aLf9hZS0YY9gWfROX7pXAWKQDAaTn5+0HFZi16yy87U3w7qQ+Sn/nD8pquIouga4WzZ7fslKHOSXVgKXKTTUKBf1ELQV5WCHIwwqF5TX4vwv3MCfYDVXiehxKuo+5chcxzw316MKjJIQQ0tF62ZtyQb+ejkDlMG1A2lt97EY+zt4uwlcn07E41KtdjyerSHphu3m6P55ppgyttpkS6IgZg9QjoZexSBdbnno0imFqP2csH9UTUddy8cxgN+w4nob8shouL4GqOf02ptJAqUpcj4ra+scqdQZIcwhs+isFL47wwtpDV7jlHjbG+K0hDw3RTkKhAKYGeiipEqOkSgw7s5aVGG4LiYQ1matu3w6vu3CYJz5rmM8v88O5LF6iwFt55ajxrec6XRhjeFD+KK+ArArLvoRM3n52n8posu8/r+Qg/UE5ahWUyMsvq8HJWwVcfoHGEu8UIfFOEYb1tMF4uZsQ8jfvzt6W3sDwdTRrUZ4X2fD+ew+rtCro16JBC0QbWZuIsGSEF0wN9GBnaoAXR3h1WGImQggh6qe/XFk6MwO9Zntp5LPof3DkBgrbME9bImG4er8ERRW1mLLjFHq8+Sd3kd1Zw/pJy/WwMcaLI7ygrytskiBMVU+/kb4uF+jnlz5+xu7n95zD5XsleGlfEm95WxIUE83RmSVDASC7pArVjXrHB/doe5RqbqSHy+vHYc9zg7F0pOKbpttibsJ//d84k1aArKJKDNl0DM/vOd/svhsH/DKKkpDKRsVsibrRZF1jdxuG71eL6zFu2wk8uzsBRRW1SMwowvdn7wKQVi9piV72phAIgBt55bjffFVwjUHREyGEEELUVoSfA/f/5pLWAdIe4NXhvbH1qDTDfWpeGZ5olMz1YUUtkjIfYrSPHQrKa3E1uwR2piIIIEAfJzMkZxVDpCtEfHohNh6+DoEAXGlQQJosi5KEqrd+rha4fO/RVAxVQT8gLQObmleGu4WV8LRtfY3z4spaVInrFa5rbg4x0Q5WxvrILKrE/oRM9HU27/Ah/rJRR/KCPNrnb83MQA8je9tBX0eoMLkqIM1fcPJWAbKLq1pV6UPm+GsjkFNSjcj/JShcP6KXLTIKKnAtu7TZfX0cfRMOZgZwtZJO77qZV44B70fztnG3btmNWlcrI0wKcMKxlDzkVCo+pzURBf2EEEIIUVu6OkK4WRkhs6gSw71tmn8CgGWjeuJ0WgHOpBfiyJUcRF3NxcxBrlwyvJf2JSH+diE2TffHD+eycEluzunBpU9gxpdnoK8rRG2dtBeNNcol9a8n+8KSksSqtTnBbvgu/i732FBFIj8A6OVgitS8MqTmlbWqRFjM9TycTi/AIHfF5b8ACvq7C3sz6c3FQxfvw8vOBMtG9ezQ15Plq5D3uFNTlAn2tMbsIFf8dP6ewqR6+WXVyC9rfnRMmK897j2sxFMDXZCYUYQgDyt42po0ucE2vq8D7hRWYlp/J3jYmGDPmTvcupv/Go+F353HyZtNS4LW1kmw6sdkDOup/Dui8egfVd6e4Iu3x/dCwomYFj9H3VHQTwghhBC1dmDxEOz+JwMvjWr5/HzZ3Na9Z6VzSi/dK8Fvy4ZCXC9BfMMcT/l51zJz/nsWALiAv7EL74TBmsrAqr3e9qYwM9DlEngZNdPr6uNgij8uAakKhhkrI5EwLP7+PCQM+Ob0HYXbWBvrw9eBRoV0ByaiR/kuth5NxbPB7jA3ap8cGIwxvPXLVXjaGHMlOO82JIqcMcAFNqb6mBzg1C6vJU9HKMCm6QF4aWRPjP5PHMT1DEtHenG9/3ml1dKEd81YFebN3XRdONyTty7CzwFR13IBANtm9eNGSNTVS7gbvmG+9tDXFcLVUnWJ1FNpBbzHsucDqksuNuZgbgCxuGvKL3YUjQn6i4qK8PLLL+OPP/6AUCjEjBkz8Omnn8LERPkQrJEjR+LEiRO8ZUuWLMHOnTu5x5mZmVi6dCliY2NhYmKC+fPnY9OmTdDV1ZhfDSGEEKLVnC0MsW5yn1Y9p3FCq0tZxQj7+ESz86trlAT7ALB/UTAF/BpCIBDAzFCPC/pNDJrp6W8ICGJS8lAvYVyJQZnymjoY6ApRUyeBSFeIrIdVKCivQePOz9lBrgj1toWvoxnSH5TDwdwAQiFVF+oOSqpqeY93n87AK2HeEAgEyC+rhpmBXouH/DPGkF1SDSdzAwgEAiRnFeNAYmbD64jxenhv3MwrBwD4O5thQQcntna1MsL+RUNQLa7HcG9bDOtpg8j/JfCy/KvipWLKzJanAzDa1w5TAp14vx9dHSGOvzYCvyVnY2hDD34P60ef3/sXBUNXKIRIV4i41AfYFnOzyb4tjfXx1byByC2pblXQr400JrKNjIxETk4OoqOjIRaL8dxzz2Hx4sXYv3+/yuctWrQIGzdu5B4bGT2az1FfX4+JEyfCwcEBZ86cQU5ODubNmwc9PT188MEHHfZeCCGEENKxXBT0CKXllyMtv7zZ59qaimBrIsL1nFKM9rHD8Rv5AIDgdpovSzpHtdwc+8Y1xRuT1WAvq67Dwm/PYcecATh7uxABLhY4k16AlT8kt+g1PW1MuCziPSiBX7eyYow3YlLyucfbj91CSk4pnuznjGX7k+BsYYjoV0Nxv6gCD+WmwDPGcOV+CXrZm3JB7xv/dxk/X7iH54d6YN3kPrzkgDti0zAxwBHR16UZ8ns5dE4wO7jHoyksrf3bVlU9w8xADzMHuSpcp6sjxIyBLtzjpwe5YPepDPRxMsMTXo+G8ge6WuDK/WLEpOQjtJctdIUCHL+Rjwl9HeDjYAYfGm2jGUF/SkoKoqKicO7cOQwaNAgA8Nlnn2HChAn46KOP4OSkfDiLkZERHBwcFK77+++/cf36dcTExMDe3h79+vXD+++/jzVr1mD9+vXQ16f5eoQQQogmaq5Xx9vOBLcU3ACwNNLD8lE98ewQd9RLGKrE9Xjum0SE+zk06f0l6s3X0Qz/3CpAMwUfAACuVobo62yGq/dLcSa9EBv/uI4fz2fBxkQfBeW1Kp/b086Eu5nkQYF+txXgYoH0DyZg+7Fb+PTYLQBA9PU8Lji/X1yF7cfS8M3pDBgIdDBzigR6etKpIRsPX8fCYR54Z5J0RNPPF+4BAL4+nYFZg13x339u815r/Kf/cP/3czLvjLfH42yhepg9IJ3aYmMiwtODXJrdtqUsjPRxas0ohZ/FX80dhILyGtiaisAYUFhRC1tTGpkloxFBf3x8PCwsLLiAHwDCwsIgFAqRkJCAadOmKX3uvn37sHfvXjg4OGDy5Ml49913ud7++Ph4+Pv7w97ents+PDwcS5cuxbVr19C/f3+F+6ypqUFNzaNbdKWl0qySYrFYred/yI5NnY+RUDtpAmojzUDtpBk6qp08rR8N7+/nao7krBLe+o+f9sfxGw9QUyeBh40RUnLKsCa8FzcUW1JfBwEAI13gx0VBHXKMmkJTz6UNk32w9egtPD/UvUXH/tOiIPTdEIOaOgl+PC+tSa4s4HcwEyHE0wpVYgnem+SDD6NuggEY0sO8y35PmtpO2sbCUHmv9s4T0rnwNRDg89g0rArrhY2HrwMA/ncqA2vCvcEaZQ4N/+Sk0v05mhvASLdr2nzXs/2xZO9F7vH6ST54UF6LWYNc8J/oW4gMcuVKrrb38SmbhWVpqIO6OumUHgsDYZteV1POp5Yen0YE/bm5ubCz42dS1dXVhZWVFXJzc5U+b86cOXB3d4eTkxMuX76MNWvWIDU1FYcOHeL2Kx/wA+Aeq9rvpk2bsGHDhibL//77b970AXUVHR3d/Eaky1E7qT9qI81A7aQZOqKdFvaWBvAnch4CeDS8e4C1BLeT/kEP2YJsIBBAVJTi0lREShPPpQgzIPvKfWQ3zdmokLmeDh7Wqh4aEOEiQYBVBZwNKwBDIPHkfYxquPw7Fp3VxiNuO01sJ21SVga0JMQ6cDYD9uVpvG3//PMIKuuUP3+0kwQ6AqBCDBTVAFPdy3HkyJH2OOzH9Og4LQuvwhLAxdM3MdoIyLmahZyrXXdk7UXdz6fKyqZVHBTp0qD/zTffxIcffqhym5SUlMfe/+LFi7n/+/v7w9HREWPGjEF6ejq8vFqeAbixtWvX4tVXX+Uel5aWwtXVFePGjYOZmfrOGRGLxYiOjsbYsWOhp9c+2URJ+6N2Un/URpqB2kkzdGQ7TWj41/dSDl77vyt4aYQnBrlbwN/ZHBbtlFW7O+hO59L+3HNIyHjYZLm9qQh5ZTWYN8QN70706YIja153aid1129wITxsjDF8q/Je+qIaAeod+wK4wS1bl2yAF0d4ALil8DnvPzsKdmo0ZL3M7h7e+e06Vo72woRWVFfRBJpyPslGnDenS4P+1157DQsWLFC5jaenJxwcHJCfn89bXldXh6KiIqXz9RUJDg4GAKSlpcHLywsODg5ITEzkbZOXJ513o2q/IpEIIlHTE05PT0+t/yhkNOU4uztqJ/VHbaQZqJ00Q0e20/SBrnjC2xYOZtJM2OTxdIdz6d1Jfpj02akmyxcM9cDUfk5wNFf/v6Hu0E7qLrS3NI4wEemivKauyXp9IUOtRIANh2/wlpdW12HLUcUB/zsTfeFspTwLfleIHNIDI33s4WxhqPbnxeNS9/OppcemOpVpB7O1tYWPj4/KH319fYSEhKC4uBgXLlzgnnv8+HFIJBIukG+J5ORkAICjozSrakhICK5cucK7oRAdHQ0zMzP06dO60kCEEEIIUU8CgQCO5tp7UUraT19nc/z9SihCPK3x8cxAbnkvexM4aXFgQzrGxql+6G1viv88HQjLhtFFPW2NMdZZeWlQmb7Oj0YPx7wa2qS+vToQCARwsTSi80IDdGnQ31K+vr6IiIjAokWLkJiYiNOnT2P58uV45plnuMz99+/fh4+PD9dzn56ejvfffx8XLlzAnTt38Pvvv2PevHkIDQ1FQEAAAGDcuHHo06cP5s6di0uXLuHo0aN45513sGzZMoU9+YQQQgghRLv1sjfFgcVDMCXwUXUoH0f1nb5J1Nf0AS44+kooZgx0wfbZ/TG1nxP+/aQfxrkwrJ/sy20X7GHV5LkTGko/Avz69IQ8Do1I5AdIs/AvX74cY8aMgVAoxIwZM7B9+3ZuvVgsRmpqKpfMQF9fHzExMfjkk09QUVEBV1dXzJgxA++88w73HB0dHRw+fBhLly5FSEgIjI2NMX/+fGzcuLHT3x8hhBBCCFEfujpC/LZsKCpq6lpUoowQVYZ722K4ty3EYjGOXAUig1wx3t8JJ28+QJ2EISGjiLd9P1cL7F8UDCN9XejqaEQ/LVFjGhP0W1lZYf/+/UrX9+jRg1fiwtXVFSdOnGh2v+7u7l2c9ZIQQgghhKijQFeLrj4EosXszQzw9CBXlFSK8WHUDRRXinnrvGzVaw4/0Vx024gQQgghhBBCuoi5kR7Orh2Dnc8O4JbZmxl04RERbaMxPf2EEEIIIYQQoo0M9HQQ7ueA5aN6wsRAFyYiCtNI+6G/JkIIIYQQQgjpYgKBAK+H9+7qwyBaiIb3E0IIIYQQQgghWoqCfkIIIYQQQgghREtR0E8IIYQQQgghhGgpCvoJIYQQQgghhBAtRUE/IYQQQgghhBCipSjoJ4QQQgghhBBCtBQF/YQQQgghhBBCiJaioJ8QQgghhBBCCNFSFPQTQgghhBBCCCFaioJ+QgghhBBCCCFES1HQTwghhBBCCCGEaCndrj4AbcAYAwCUlpZ28ZGoJhaLUVlZidLSUujp6XX14RAlqJ3UH7WRZqB20gzUTuqP2kgzUDtpBmonzaAp7SSLP2XxqDIU9LeDsrIyAICrq2sXHwkhhBBCCCGEkO6krKwM5ubmStcLWHO3BUizJBIJsrOzYWpqCoFA0NWHo1RpaSlcXV2RlZUFMzOzrj4cogS1k/qjNtIM1E6agdpJ/VEbaQZqJ81A7aQZNKWdGGMoKyuDk5MThELlM/epp78dCIVCuLi4dPVhtJiZmZla//ESKWon9UdtpBmonTQDtZP6ozbSDNROmoHaSTNoQjup6uGXoUR+hBBCCCGEEEKIlqKgnxBCCCGEEEII0VIU9HcjIpEI7733HkQiUVcfClGB2kn9URtpBmonzUDtpP6ojTQDtZNmoHbSDNrWTpTIjxBCCCGEEEII0VLU008IIYQQQgghhGgpCvoJIYQQQgghhBAtRUE/IYQQQgghhBCipSjoJ4QQQgghhBBCtBQF/d3E559/jh49esDAwADBwcFITEzs6kPqNjZt2oTBgwfD1NQUdnZ2ePLJJ5GamsrbZuTIkRAIBLyfF198kbdNZmYmJk6cCCMjI9jZ2WH16tWoq6vrzLei1davX9+kDXx8fLj11dXVWLZsGaytrWFiYoIZM2YgLy+Ptw9qo47Xo0ePJu0kEAiwbNkyAHQudZWTJ09i8uTJcHJygkAgwK+//spbzxjDunXr4OjoCENDQ4SFheHWrVu8bYqKihAZGQkzMzNYWFjghRdeQHl5OW+by5cvY/jw4TAwMICrqyu2bNnS0W9Na6hqI7FYjDVr1sDf3x/GxsZwcnLCvHnzkJ2dzduHovNv8+bNvG2ojdqmuXNpwYIFTdogIiKCtw2dSx2vuXZS9D0lEAiwdetWbhs6nzpWS66/2+vaLi4uDgMGDIBIJELPnj2xZ8+ejn57rUZBfzfw448/4tVXX8V7772HpKQkBAYGIjw8HPn5+V19aN3CiRMnsGzZMpw9exbR0dEQi8UYN24cKioqeNstWrQIOTk53I/8B3t9fT0mTpyI2tpanDlzBt9++y327NmDdevWdfbb0Wp+fn68Njh16hS37pVXXsEff/yBn3/+GSdOnEB2djamT5/Orac26hznzp3jtVF0dDQA4Omnn+a2oXOp81VUVCAwMBCff/65wvVbtmzB9u3bsXPnTiQkJMDY2Bjh4eGorq7mtomMjMS1a9cQHR2Nw4cP4+TJk1i8eDG3vrS0FOPGjYO7uzsuXLiArVu3Yv369fjqq686/P1pA1VtVFlZiaSkJLz77rtISkrCoUOHkJqaiilTpjTZduPGjbzz6+WXX+bWURu1XXPnEgBERETw2uDAgQO89XQudbzm2km+fXJycvD1119DIBBgxowZvO3ofOo4Lbn+bo9ru4yMDEycOBGjRo1CcnIyVq1ahYULF+Lo0aOd+n6bxYjWCwoKYsuWLeMe19fXMycnJ7Zp06YuPKruKz8/nwFgJ06c4JaNGDGCrVy5Uulzjhw5woRCIcvNzeWWffnll8zMzIzV1NR05OF2G++99x4LDAxUuK64uJjp6emxn3/+mVuWkpLCALD4+HjGGLVRV1m5ciXz8vJiEomEMUbnkjoAwH755RfusUQiYQ4ODmzr1q3csuLiYiYSidiBAwcYY4xdv36dAWDnzp3jtvnrr7+YQCBg9+/fZ4wx9sUXXzBLS0teO61Zs4b17t27g9+R9mncRookJiYyAOzu3bvcMnd3d7Zt2zalz6E2al+K2mn+/Pls6tSpSp9D51Lna8n5NHXqVDZ69GjeMjqfOlfj6+/2urZ74403mJ+fH++1Zs2axcLDwzv6LbUK9fRrudraWly4cAFhYWHcMqFQiLCwMMTHx3fhkXVfJSUlAAArKyve8n379sHGxgZ9+/bF2rVrUVlZya2Lj4+Hv78/7O3tuWXh4eEoLS3FtWvXOufAu4Fbt27ByckJnp6eiIyMRGZmJgDgwoULEIvFvPPIx8cHbm5u3HlEbdT5amtrsXfvXjz//PMQCATccjqX1EtGRgZyc3N554+5uTmCg4N554+FhQUGDRrEbRMWFgahUIiEhARum9DQUOjr63PbhIeHIzU1FQ8fPuykd9N9lJSUQCAQwMLCgrd88+bNsLa2Rv/+/bF161beMFdqo84RFxcHOzs79O7dG0uXLkVhYSG3js4l9ZOXl4c///wTL7zwQpN1dD51nsbX3+11bRcfH8/bh2wbdYuzdLv6AEjHKigoQH19Pe+PFQDs7e1x48aNLjqq7ksikWDVqlUYOnQo+vbtyy2fM2cO3N3d4eTkhMuXL2PNmjVITU3FoUOHAAC5ubkK21C2jrRdcHAw9uzZg969eyMnJwcbNmzA8OHDcfXqVeTm5kJfX7/Jxa+9vT33+6c26ny//voriouLsWDBAm4ZnUvqR/Z7VfR7lz9/7OzseOt1dXVhZWXF28bDw6PJPmTrLC0tO+T4u6Pq6mqsWbMGs2fPhpmZGbd8xYoVGDBgAKysrHDmzBmsXbsWOTk5+PjjjwFQG3WGiIgITJ8+HR4eHkhPT8dbb72F8ePHIz4+Hjo6OnQuqaFvv/0WpqamvGHjAJ1PnUnR9Xd7Xdsp26a0tBRVVVUwNDTsiLfUahT0E9KJli1bhqtXr/LmigPgzbXz9/eHo6MjxowZg/T0dHh5eXX2YXZL48eP5/4fEBCA4OBguLu746efflKbD2zCt3v3bowfPx5OTk7cMjqXCGkbsViMmTNngjGGL7/8krfu1Vdf5f4fEBAAfX19LFmyBJs2bYJIJOrsQ+2WnnnmGe7//v7+CAgIgJeXF+Li4jBmzJguPDKizNdff43IyEgYGBjwltP51HmUXX93JzS8X8vZ2NhAR0enSSbKvLw8ODg4dNFRdU/Lly/H4cOHERsbCxcXF5XbBgcHAwDS0tIAAA4ODgrbULaOtD8LCwv06tULaWlpcHBwQG1tLYqLi3nbyJ9H1Ead6+7du4iJicHChQtVbkfnUteT/V5VfQ85ODg0SS5bV1eHoqIiOsc6kSzgv3v3LqKjo3m9/IoEBwejrq4Od+7cAUBt1BU8PT1hY2PD+4yjc0l9/PPPP0hNTW32uwqg86mjKLv+bq9rO2XbmJmZqVWnEQX9Wk5fXx8DBw7EsWPHuGUSiQTHjh1DSEhIFx5Z98EYw/Lly/HLL7/g+PHjTYZqKZKcnAwAcHR0BACEhITgypUrvC9y2QVZnz59OuS4u7vy8nKkp6fD0dERAwcOhJ6eHu88Sk1NRWZmJnceURt1rm+++QZ2dnaYOHGiyu3oXOp6Hh4ecHBw4J0/paWlSEhI4J0/xcXFuHDhArfN8ePHIZFIuBs3ISEhOHnyJMRiMbdNdHQ0evfuTcNc24Es4L916xZiYmJgbW3d7HOSk5MhFAq54eTURp3v3r17KCws5H3G0bmkPnbv3o2BAwciMDCw2W3pfGpfzV1/t9e1XUhICG8fsm3ULs7q4kSCpBP88MMPTCQSsT179rDr16+zxYsXMwsLC14mStJxli5dyszNzVlcXBzLycnhfiorKxljjKWlpbGNGzey8+fPs4yMDPbbb78xT09PFhoayu2jrq6O9e3bl40bN44lJyezqKgoZmtry9auXdtVb0vrvPbaaywuLo5lZGSw06dPs7CwMGZjY8Py8/MZY4y9+OKLzM3NjR0/fpydP3+ehYSEsJCQEO751Eadp76+nrm5ubE1a9bwltO51HXKysrYxYsX2cWLFxkA9vHHH7OLFy9ymd83b97MLCws2G+//cYuX77Mpk6dyjw8PFhVVRW3j4iICNa/f3+WkJDATp06xby9vdns2bO59cXFxcze3p7NnTuXXb16lf3www/MyMiI7dq1q9PfryZS1Ua1tbVsypQpzMXFhSUnJ/O+q2QZqs+cOcO2bdvGkpOTWXp6Otu7dy+ztbVl8+bN416D2qjtVLVTWVkZe/3111l8fDzLyMhgMTExbMCAAczb25tVV1dz+6BzqeM195nHGGMlJSXMyMiIffnll02eT+dTx2vu+pux9rm2u337NjMyMmKrV69mKSkp7PPPP2c6OjosKiqqU99vcyjo7yY+++wz5ubmxvT19VlQUBA7e/ZsVx9StwFA4c8333zDGGMsMzOThYaGMisrKyYSiVjPnj3Z6tWrWUlJCW8/d+7cYePHj2eGhobMxsaGvfbaa0wsFnfBO9JOs2bNYo6OjkxfX585OzuzWbNmsbS0NG59VVUVe+mll5ilpSUzMjJi06ZNYzk5Obx9UBt1jqNHjzIALDU1lbeczqWuExsbq/Bzbv78+Ywxadm+d999l9nb2zORSMTGjBnTpP0KCwvZ7NmzmYmJCTMzM2PPPfccKysr421z6dIlNmzYMCYSiZizszPbvHlzZ71FjaeqjTIyMpR+V8XGxjLGGLtw4QILDg5m5ubmzMDAgPn6+rIPPviAF2wyRm3UVqraqbKyko0bN47Z2toyPT095u7uzhYtWtSkE4fOpY7X3GceY4zt2rWLGRoasuLi4ibPp/Op4zV3/c1Y+13bxcbGsn79+jF9fX3m6enJew11IWCMsQ4aREAIIYQQQgghhJAuRHP6CSGEEEIIIYQQLUVBPyGEEEIIIYQQoqUo6CeEEEIIIYQQQrQUBf2EEEIIIYQQQoiWoqCfEEIIIYQQQgjRUhT0E0IIIYQQQgghWoqCfkIIIaSbWLlyJRYvXgyJRNLVh0IIIYSQTkJBPyGEENINZGVloXfv3ti1axeEQvr6J4QQQroL+tYnhBBCugFXV1e89NJLEAgELX7Onj17YGFh0XEH1YyRI0di1apV3OMePXrgk08+4R4LBAL8+uuvnX5chBBCiCahoJ8QQgjRYgsWLIBAIGjyExER0dWHxomLi4NAIEBxcTFv+aFDh/D+++93zUERQgghWkK3qw+AEEIIIR0rIiIC33zzDW+ZSCTqoqNpOSsrq64+BEIIIUTjUU8/IYQQouVEIhEcHBx4P5aWlgCA4uJiLFmyBPb29jAwMEDfvn1x+PBh3vOPHj0KX19fmJiYICIiAjk5Ody6c+fOYezYsbCxsYG5uTlGjBiBpKQk3vMFAgH+97//Ydq0aTAyMoK3tzd+//13AMCdO3cwatQoAIClpSUEAgEWLFgAoOnw/uZcuXIFo0ePhqGhIaytrbF48WKUl5dz6xcsWIAnn3wSH330ERwdHWFtbY1ly5ZBLBZz23zxxRfw9vaGgYEB7O3t8dRTT7X49QkhhBB1REE/IYQQ0k1JJBKMHz8ep0+fxt69e3H9+nVs3rwZOjo63DaVlZX46KOP8P333+PkyZPIzMzE66+/zq0vKyvD/PnzcerUKZw9exbe3t6YMGECysrKeK+1YcMGzJw5E5cvX8aECRMQGRmJoqIiuLq64uDBgwCA1NRU5OTk4NNPP231e6moqEB4eDgsLS1x7tw5/Pzzz4iJicHy5ct528XGxiI9PR2xsbH49ttvsWfPHuzZswcAcP78eaxYsQIbN25EamoqoqKiEBoa2upjIYQQQtQJDe8nhBBCtNzhw4dhYmLCW/bWW29h0KBBSExMREpKCnr16gUA8PT05G0nFouxc+dOeHl5AQCWL1+OjRs3cutHjx7N2/6rr76ChYUFTpw4gUmTJnHLFyxYgNmzZwMAPvjgA2zfvh2JiYmIiIjghvHb2dk9duLA/fv3o7q6Gt999x2MjY0BADt27MDkyZPx4Ycfwt7eHoB0NMGOHTugo6MDHx8fTJw4EceOHcOiRYuQmZkJY2NjTJo0CaampnB3d0f//v0f63gIIYQQdUE9/YQQQoiWGzVqFJKTk3k/L774IpKTk+Hi4sIF/IoYGRlxAT8AODo6Ij8/n3ucl5eHRYsWwdvbG+bm5jAzM0N5eTkyMzN5+wkICOD+b2xsDDMzM95+2iolJQWBgYFcwA8AQ4cOhUQiQWpqKrfMz8+PN5JB/v2MHTsW7u7u8PT0xNy5c7Fv3z5UVla22zESQgghXYF6+gkhhBAtZ2xsjJ49ezZZbmho2Oxz9fT0eI8FAgEYY9zj+fPno7CwEJ9++inc3d0hEokQEhKC2traZvcjkUha8zbaharjMDU1RVJSEuLi4vD3339j3bp1WL9+Pc6dO9elpQsJIYSQtqCefkIIIaSbCggIwL1793Dz5s3H3sfp06exYsUKTJgwAX5+fhCJRCgoKGjVPvT19QEA9fX1j30cvr6+uHTpEioqKnjHJhQK0bt37xbvR1dXF2FhYdiyZQsuX76MO3fu4Pjx4499XIQQQkhXo6CfEEII0XI1NTXIzc3l/RQUFGDEiBEIDQ3FjBkzEB0djYyMDPz111+Iiopq8b69vb3x/fffIyUlBQkJCYiMjGzRCAJ57u7uEAgEOHz4MB48eMDLuN9SkZGRMDAwwPz583H16lXExsbi5Zdfxty5c7n5/M05fPgwtm/fjuTkZNy9exffffcdJBJJq24aEEIIIeqGgn5CCCFEy0VFRcHR0ZH3M2zYMADAwYMHMXjwYMyePRt9+vTBG2+80aoe9927d+Phw4cYMGAA5s6dixUrVsDOzq5Vx+fs7IwNGzbgzTffhL29fZOM+y1hZGSEo0ePoqioCIMHD8ZTTz2FMWPGYMeOHS3eh4WFBQ4dOoTRo0fD19cXO3fuxIEDB+Dn59fq4yGEEELUhYDJT8wjhBBCCCGEEEKI1qCefkIIIYQQQgghREtR0E8IIYQQQgghhGgpCvoJIYQQQgghhBAtRUE/IYQQQgghhBCipSjoJ4QQQgghhBBCtBQF/YQQQgghhBBCiJaioJ8QQgghhBBCCNFSFPQTQgghhBBCCCFaioJ+QgghhBBCCCFES1HQTwghhBBCCCGEaCkK+gkhhBBCCCGEEC31/0Fj6264LzrMAAAAAElFTkSuQmCC\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}}]},{"cell_type":"code","source":["def plot_ecg_with_annotations(patient_id, title):\n","    # Charger le signal ECG\n","    record = wfdb.rdrecord(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', channels=[0])\n","    signal = record.p_signal.flatten()\n","\n","    # Charger les annotations\n","    annotation = wfdb.rdann(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', 'atr')\n","\n","    # Visualiser le signal avec les annotations\n","    plt.figure(figsize=(12, 4))\n","    plt.plot(signal[:2000])  # Afficher les 2000 premiers échantillons\n","    plt.title(f\"ECG avec Annotations - {title} (Patient {patient_id})\")\n","    plt.xlabel(\"Échantillons\")\n","    plt.ylabel(\"Amplitude (mV)\")\n","\n","    # Afficher les annotations\n","    for sample, symbol in zip(annotation.sample, annotation.symbol):\n","        if sample < 2000:  # Se limiter aux 2000 premiers échantillons\n","            plt.plot(sample, signal[sample], 'ro')  # Marquer les annotations en rouge\n","            plt.text(sample, signal[sample], symbol, fontsize=12, color='red')\n","\n","    plt.grid()\n","    plt.show()\n","\n","# Visualiser un ECG normal avec annotations (Patient 101)\n","plot_ecg_with_annotations('101', 'Rythme Sinusal Normal')\n","\n","# Visualiser un ECG anormal avec annotations (Patient 106)\n","plot_ecg_with_annotations('106', 'Extrasystoles Ventriculaires (PVC)')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"UgOWo3CsiZ7m","executionInfo":{"status":"ok","timestamp":1740958561589,"user_tz":0,"elapsed":507,"user":{"displayName":"Mohamed Elmokhtar Hadoueni","userId":"02814941678346480322"}},"outputId":"6cb2754f-95b5-4030-90b2-3616538740f7"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}}]},{"cell_type":"code","source":["def inspect_patient(patient_id):\n","    signal, ann_samples, ann_symbols = load_patient_data(patient_id)\n","    segments = [signal[i:i+1800] for i in range(0, len(signal), 1800)]\n","    labels = np.zeros(len(segments))  # 0 = Normal, 1 = Anomalie\n","\n","    for sample, symbol in zip(ann_samples, ann_symbols):\n","        segment_idx = sample // 1800\n","        if segment_idx < len(segments):\n","            if symbol != 'N':  # Si une seule annotation est non-'N', le segment est anormal\n","                labels[segment_idx] = 1\n","\n","    # Afficher les résultats\n","    print(f\"Patient {patient_id} - Segments normaux: {np.sum(labels == 0)}, Segments anormaux: {np.sum(labels == 1)}\")"],"metadata":{"id":"DHXWjXoXyBOf"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Installer ipywidgets si ce n'est pas déjà fait\n","# !pip install ipywidgets\n","\n","# Importer les bibliothèques nécessaires\n","import ipywidgets as widgets\n","from IPython.display import display\n","import wfdb\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from tensorflow.keras.models import load_model\n","\n","# Charger le modèle (assure-toi qu'il est déjà entraîné)\n","model = load_model('model_ecg_cnn.h5')  # Décommente si tu as un modèle sauvegardé\n","\n","# Fonction pour tester un signal ECG\n","def test_ecg_signal(patient_id):\n","    try:\n","        # Charger le signal ECG\n","        record = wfdb.rdrecord(f'/content/drive/MyDrive/mit-bih-arrhythmia-database-1.0.0/{patient_id}', channels=[0])\n","        signal = record.p_signal.flatten()[:1800]  # Prendre les 1800 premiers échantillons\n","\n","        # Prétraiter le signal\n","        signal = (signal - np.mean(signal)) / np.std(signal)\n","        signal = signal.reshape(1, 1800, 1)\n","\n","        # Faire la prédiction\n","        prediction = model.predict(signal)[0][0]\n","        result = \"Anomalie ⚠️\" if prediction > 0.5 else \"Normal ✅\"\n","\n","        # Afficher le résultat\n","        plt.figure(figsize=(12, 4))\n","        plt.plot(signal[0, :, 0])\n","        plt.title(f\"Résultat : {result} (Confiance: {prediction:.2%})\\nPatient {patient_id}\")\n","        plt.xlabel(\"Échantillons\")\n","        plt.ylabel(\"Amplitude (mV)\")\n","        plt.grid()\n","        plt.show()\n","    except:\n","        print(f\"Erreur : Patient {patient_id} non trouvé ou problème de chargement.\")\n","\n","# Créer le formulaire interactif\n","patient_id_input = widgets.Text(\n","    value='101',\n","    placeholder='Entrez un ID de patient (ex: 101)',\n","    description='Patient ID:',\n","    disabled=False\n",")\n","\n","test_button = widgets.Button(description=\"Tester le signal\")\n","\n","def on_button_click(b):\n","    test_ecg_signal(patient_id_input.value)\n","\n","test_button.on_click(on_button_click)\n","\n","# Afficher le formulaire\n","display(patient_id_input, test_button)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":589,"referenced_widgets":["3fb4d9f9d4eb45c692e7c1e3130297a5","5af31d7cc5264f228055b12f63ba13a8","c4ab9d9d77c94fd49750972938a34040","90536ebfc4e542dab197419ee9bc969f","bd542e5fc2e24f77a42f2667d73062bd","c6f0501dd670493b8b9fccd3c58bb4ab"]},"id":"AlmVJqTNtDts","executionInfo":{"status":"ok","timestamp":1740969551287,"user_tz":300,"elapsed":255,"user":{"displayName":"Hamod","userId":"01942683667417396089"}},"outputId":"08b2076d-2ac4-41d2-cf07-f3a2001e3904"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"]},{"output_type":"display_data","data":{"text/plain":["Text(value='101', description='Patient ID:', placeholder='Entrez un ID de patient (ex: 101)')"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"3fb4d9f9d4eb45c692e7c1e3130297a5"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Button(description='Tester le signal', style=ButtonStyle())"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"90536ebfc4e542dab197419ee9bc969f"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1s/step\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.11/dist-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 9989 (\\N{WHITE HEAVY CHECK MARK}) missing from font(s) DejaVu Sans.\n","  fig.canvas.print_figure(bytes_io, **kw)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 1 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\n"},"metadata":{}}]},{"cell_type":"code","source":["import numpy as np\n","\n","# Générer un signal ECG normal\n","normal_signal = np.random.normal(loc=0, scale=0.1, size=1800)\n","np.savetxt(\"exemple_normal.txt\", normal_signal, fmt=\"%.6f\")\n","\n","# Générer un signal ECG avec anomalie\n","anomaly_signal = np.random.normal(loc=0, scale=0.1, size=1800)\n","anomaly_signal[500:510] += 0.2  # Ajouter une anomalie\n","np.savetxt(\"exemple_anomalie.txt\", anomaly_signal, fmt=\"%.6f\")"],"metadata":{"id":"ub3TA4-NlVvi"},"execution_count":null,"outputs":[]}]}